Users’ Manual for Handling Resampled Micro Data of
Vietnamese Household Living Standard Survey(VHLSS)

VHLSS 2010
(Version 1.0)

2017
The Institute of Statistical Mathematics (ISM)
andStatistical Information Institute for Consulting and Analysis (SINFONICA)

1

History of revision of the manual
.Version 1.0: Finalized in January 2017 based on the discussion during the Workshop in
December 2016.
 Provisional version in November 2016 for the Workshop in December 2016.

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CONTENTS

VHLSS 2010
1. About this Manual

Page 4

2. Outline of the survey

5Objective of the survey

Topics covered by the surveyFrequency of the survey

Survey period

Coverage of the survey

Sample designData collection methodData entry and data checkPublication

3. Data and metadata provided

7

4. Data import
4.1 Import STATA data files into R

11

4.1.2 Generated list of variable names in each data frame

13

4.1.3 Labels of categorical variables

14

4.2 Summary of data files

52

4.3 Weight data

56

4.4 Defining identifiers in data files and appending weight to data files

58

4.5 Basic statistics

63

4.6 Sample allocation

64

4.7 Sample design68

5. Data check5.1 Structure of each data file71

5.2 Summary of each variable103

5.3 Frequency tables of categorical variables

131

6. Household summary data file of TTCHUNG
6.1 Estimated mean value of each variable in TTCHUNG

144

6.2 Operational definition of variables of TTCHUNG

148

6.3 R scripts for verifying the contents of TTCHUNG

152

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7. Household income

183

8. Household expenditure188

9. Micro data to be provided

193

Attachments:

198

1. The questionnaire

199

2. Data dictionary

260

3. Province map

334

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1. About this Manual
1. This manual was prepared for users to use the next 80% resampled micro data sets ofVietnamese Household Living Standard Survey (VHLSS) 2010.
CSV format[1] "hhexpe10_80.csv"[5] "muc3a_80.csv"[9] "muc4b11_80.csv"[13] "muc4b15_80.csv"[17] "muc4b22_80.csv"[21] "muc4b42_80.csv"[25] "muc4c2_80.csv"[29] "muc5b1_80.csv"[33] "muc6b_80.csv"[37] "ttchung_80.csv""muc1a_80.csv""muc3b_80.csv""muc4b12_80.csv""muc4b16_80.csv""muc4b31_80.csv""muc4b51_80.csv""muc4d_80.csv""muc5b2_80.csv""muc7_80.csv""muc1b_80.csv""muc4a_80.csv""muc4b13_80.csv""muc4b17_80.csv""muc4b32_80.csv""muc4b52_80.csv""muc5a1_80.csv""muc5b3_80.csv""muc8_80.csv""muc2_80.csv""muc4b0_80.csv""muc4b14_80.csv""muc4b21_80.csv""muc4b41_80.csv""muc4c1_80.csv""muc5a2_80.csv""muc6_80.csv""muc8vayno_80.csv"

R format[1] "hhexpe10.80" "muc1a.80"[6] "muc3b.80""muc4a.80"[11] "muc4b13.80""muc4b14.80"[16] "muc4b21.80""muc4b22.80"[21] "muc4b42.80""muc4b51.80"[26] "muc4d.80""muc5a1.80"[31] "muc5b3.80""muc6.80"[36] "muc8vayno.80" "ttchung.80""muc1b.80""muc4b0.80""muc4b15.80""muc4b31.80""muc4b52.80""muc5a2.80""muc6b.80""muc2.80""muc4b11.80""muc4b16.80""muc4b32.80""muc4c1.80""muc5b1.80""muc7.80""muc3a.80""muc4b12.80""muc4b17.80""muc4b41.80""muc4c2.80""muc5b2.80""muc8.80"

Note: hhexpe10_80 will not be provided.

2. The overall of VHLSS was described in the manual on “VHLSS – Overall and Survey Process”,
separately.

3. The original micro data sets composed of all the samples were provided by NSO, Viet Nam basedon the Charter for Experimental Laboratory for Research Purpose Statistical Use of Micro Data, andresampled at the rate of 80% by Sinfonica.

4. This manual was first compiled in January 2017 by;
Hiroshige Furuta
Visiting Senior Research Fellow, Sinfonica

Acknowledgements
Special thanks to Ms. Van Nghiem, GSO, Vietnam, who assisted my work of compiling the manuals
by properly answering to my queries via email.

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2. Outline of VHLSS 2010
The below table describes mainly on the income and expenditure survey.
Objectives of the

To evaluate living standards for policy-making and socio-economic

surveydevelopment planning, in order to systematically monitor and supervise theliving standards of different population groups in Viet Nam; to monitor andevaluate the implementation of the Comprehensive Poverty Reduction and
Growth Strategy; and to contribute to the evaluation of achievement of theMillennium Development Goals (MDGs) and Vietnam’s socio-economic
development goals.

Topics covered by

The income and expenditure survey covered the following topics;

the surveySome basic demographic characteristics related to living standards



Education



Health and health careEmployment and income

Expenditure

Housing, electricity, water, sanitation facilities and durable goods



Poverty reductionParticipation in poverty reduction programs

Frequency of theEvery two years from 2002 to 2010

surveySurvey periodThe survey collected information during four periods, each period in one
quarter from the second quarter to the fourth quarter in 2010 and one
period in the first quarter of 2011.



The reference period of household income and expenditure was the last 12
months.

Coverage of thesurveyGeographically, the survey covered the whole country. Scope of thesurvey included all selected enumeration areas and communes in 64
provinces and cities under central management.

Sample designThe target population comprised the civilian, non-institutional population.

Three-stage stratified design
Master sample based on 1999 Population Census
Strata: province and urban/rural
PSU: 3,132 communes/wards were selected.
SSU: 3,133 enumeration areas. 3 EA were selected within PSU. Only one
of EA was used for each year of VHLSS survey, with the exception of one

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PSU.
FSU: householdSample size
In total 69,360 households.
22,365 households were asked about income; 37,596 households wereasked about income and other issues; 9,399 households were asked about
income, expenditure and other issues.



The income and expenditure survey was designed to assess living
standards at national and regional level.

Data collectionFace-to-face interviews.

methodData entry andNo description

data check
Publication“Result of The Vietnam Household Living Standards Survey 2010”

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3. Data and metadata provided[VHLSS 2010]

Note: The data set for 9,399 households asked about income, expenditure and other issues wasprovided by NSO.
Household data files

File names in STATA format;[1] "hhexpe10.dta" "muc1a.dta""muc1b.dta""muc2.dta"[5] "muc3a.dta""muc3b.dta""muc4a.dta""muc4b0.dta"[9] "muc4b11.dta""muc4b12.dta""muc4b13.dta""muc4b14.dta"[13] "muc4b15.dta""muc4b16.dta""muc4b17.dta""muc4b21.dta"[17] "muc4b22.dta""muc4b31.dta""muc4b32.dta""muc4b41.dta"[21] "muc4b42.dta""muc4b51.dta""muc4b52.dta""muc4c1.dta"[25] "muc4c2.dta""muc4d.dta""muc5a1.dta""muc5a2.dta"[29] "muc5b1.dta""muc5b2.dta""muc5b3.dta""muc6.dta"[33] "muc6b.dta""muc7.dta""muc8.dta""muc8vayno.dta"[37] "ttchung.dta""weight10.dta"

Questionnaire

Household Questionnaire for Income & Expenditure Survey in English[1] "Can_doi(tn-ct)-ENG.xls""Muc01_1Bnew_En.xls"[3] "Muc02_1Bnew_Erev.xls""Muc03_1Bnew_Erev.xls"[5] "Muc04_1Bnew_Erev.xls""Muc05_1Bnew_Erev.xls"[7] "Muc06_1Bnew_En.xls""Muc07_1Bnew_Erev.xls"[9] "Muc08_1Bnew_ENG.xls"

Remarks: The file “Muc0x” corresponds to section 0x.
"Can_doi(tn-ct)-ENG.xls" includes some computing indicators from results of household interviews.

Codebook was not included in the metadata provided by NSO, but later prepared by Ms. Van.

Codebook_2010.xls

Describes variable name, topics, scope, length, code and description in each
sheet of dataset

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Code of ethnicity, province, occupation and industry

The following lists of classification are available in the questionnaire.



List of ethnicity code

List of province code

List of industry code

List of occupation code

Survey results

Survey report ofResult of The Vietnam Household Living Standards Survey 2010

VHLSS 2010
Content of thePart A: Living standards through results of VHLSS 2010

reportI. Overview of the VHLSS 2010
II. Survey results
1. Some basic demographic characteristics related to living standards
2. Education
3. Health and health care
4. Employment and income
5. Expenditure
6. Housing, electricity, water, sanitation facilities and durable goods
7. Poverty reduction
8. Participation in poverty reduction programs
9. Commune general characteristics
10. General remarks
Part B: Data results on the VHLSS 2010
Section 1. Some basic demographic characteristics related to living standards
Section 2. Education
Section 3. Labour - Employment
Section 4. Health and health care
Section 5. Income
Section 6. Consumption expenditure
Section 7. Durable goods
Section 8. Housing, electricity, water, sanitation facilities and use of Internet

Vietnam VHLSS 2010 Manual (Version 1.0)

9Section 9. Participation in poverty reduction programs
Section 10. Business production activities
Section 11. Commune general characteristics
Note

The survey report is available at IHSN website.

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

IHSN
http://catalog.ihsn.org/index.php/catalog/3277/

Survey report(Accessed on 09 April 2016)

Result of The Vietnam Household Living Standards Survey 2010 (712 pages)
Very detailed result tables in the report.

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4. Data import
4.1 Import STATA data files into R> list.files()[1] "hhexpe10.dta" "muc1a.dta""muc1b.dta""muc2.dta"[5] "muc3a.dta""muc3b.dta""muc4a.dta""muc4b0.dta"[9] "muc4b11.dta""muc4b12.dta""muc4b13.dta""muc4b14.dta"[13] "muc4b15.dta""muc4b16.dta""muc4b17.dta""muc4b21.dta"[17] "muc4b22.dta""muc4b31.dta""muc4b32.dta""muc4b41.dta"[21] "muc4b42.dta""muc4b51.dta""muc4b52.dta""muc4c1.dta"[25] "muc4c2.dta""muc4d.dta""muc5a1.dta""muc5a2.dta"[29] "muc5b1.dta""muc5b2.dta""muc5b3.dta""muc6.dta"[33] "muc6b.dta""muc7.dta""muc8.dta""muc8vayno.dta"[37] "ttchung.dta""weight10.dta"> file.names<-list.files()> library(foreign)# Imported STATA files into R> lss2010<-list()> for(j in 1:38){+ lss2010<-c(lss2010,list(read.dta(file.names[j],convert.factors=F)))+ }# 38 R data frames were stored in the list “lss2010”.

# Made list of data file name, number of records and variables> for(j in 1:38){+ cat(file.names[j],": ",dim(lss2010[[j]]),"\n")+ }hhexpe10.dta : 9399 53
muc1a.dta : 36999 18
muc1b.dta : 1221 17
muc2.dta : 36999 34
muc3a.dta : 19647 16
muc3b.dta : 36999 15
muc4a.dta : 36999 53
muc4b0.dta : 11619 9

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muc4b11.dta : 13588 12
muc4b12.dta : 13157 11
muc4b13.dta : 3012 12
muc4b14.dta : 7207 12
muc4b15.dta : 6638 10
muc4b16.dta : 47482 13
muc4b17.dta : 15124 11
muc4b21.dta : 12967 10
muc4b22.dta : 8111 29
muc4b31.dta : 200 9
muc4b32.dta : 199 27
muc4b41.dta : 3504 13
muc4b42.dta : 2119 30
muc4b51.dta : 2671 10
muc4b52.dta : 2013 30
muc4c1.dta : 4007 23
muc4c2.dta : 4007 32
muc4d.dta : 9399 29
muc5a1.dta : 136854 10
muc5a2.dta : 236630 14
muc5b1.dta : 111034 10
muc5b2.dta : 119120 8
muc5b3.dta : 9399 14
muc6.dta : 9399 42
muc6b.dta : 91597 11
muc7.dta : 9399 30
muc8.dta : 9399 53
muc8vayno.dta : 1367 12
ttchung.dta : 9399 118
weight10.dta : 3133 5

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4.1.2

Generated list of variable names in each data frame> var.names<-list()> for(j in 1:38){+ var.names<-c(var.names,list(attributes(lss2010[[j]])$var.labels))+ }> length(var.names)[1] 38> for(j in 1:38){+ varname<-colnames(lss2010[[j]])+ cat("\n","### ",j,": ",Rnames[j]," ###########\n")+ varlbl<-var.names[[j]]+ for(k in 1:length(varname)){+ cat(k,":",varname[k]," : ",varlbl[k],"\n")+ }}# List of variable names and variable labels in each data frame(omitted because the list is the part of the next list in 4.1.3.)

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4.1.3 Labels of categorical variable

Displayed the variable names, variable labels, and labels of response categories.

> for(n in 1:38){+ df<-lss2010[[n]]+ cat("\n","### ",n,": ",Rnames[n]," ###########\n")+ cb<-vector(length=ncol(df),mode="list")+ # cb: data frame of codebook+ for(j in 1:length(cb)){+ cb[[j]]$varname<-names(df)[j]+ cb[[j]]$varlabel<-attributes(df)$var.labels[j]+ cb[[j]]$vallabel<-(attributes(df)$label.table[attributes(df)$val.labels])[[j]]+ } # end of for j+ # print codebook+ for(j in 1:length(cb)){+ cat(format(j,width=2),format(cb[[j]]$varname,width=10),": ",+format(cb[[j]]$varlabel,width=30),"\n")+ if(length(cb[[j]])==3){ # including value labels+ t<-cb[[j]]$vallabel+ for(k in 1:length(t)){+ cat(rep(" ",10),format(t[k],width=3),format(names(t)[k],width=30),"\n")+ } # end of for k+ } # end of if+ } # end of for j+ } # end of for n### 1 : hhexpe10 ###########
1 tinh:2 huyen:
3 xa:
4 diaban:5 hoso:6 compfoodnom : 'Comparable' nominal household food consumption
7 compricenom : 'Comparable' nominal household rice consumption
8 compnonricenom : 'Comparable' non-rice household food consumption
9 bestfoodnom : Best nominal household food consumption
10 bestricenom : Best nominal household rice consumption
11 bestnonricenom : Best non-rice household food consumption
12 urban10: Indicator that household is urban; 0 means rural
0 Rural
1 Urban
13 reg8: 8-region coding
1 Red River Delta
2 East Northern Mtns
3 West Northern Mtns
4 North Central Coast
5 South Central Coast

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6 Central Highlands
7 Southeast
8 Mekong Delta
14 reg6: 6-region coding
1 Red River Delta
2 Midlands and Northern Mountains
3 Northern and Coastal Central
4 Central Highlands
5 Southeast
6 Mekong Delta
15 monthint : Month of interview - for use with defltem
16 hhsize: Household size
17 wt9: Household sampling weight
18 hhszwt: Population weight -- wt9*hhsize
19 defltemrice : GSO's CPI / temporal deflator for rice, scaled so that January 2010 =1
20 defltemnonricefood : GSO's CPI / temporal deflator for non-rice food, scaled so that
January 2010 = 1
21 defltemnonfood : GSO's CPI / temporal deflator for non-food items, scaled so that
January 2010 =22 deflGSOspatialfood : GSO's spatial defl for food--rescaled for population- rather thaneconomic-weigh23 deflGSOspatialnonfood : GSO's spatial defl for nonfood--rescaled for populationrather than economic-we
24 deflSCOLI : SCOLI, scaled so that allVN=1; defined by urban10 and reg6 variables
25 compfoodrl : 'Comparable' food household real consumption (deflators: Jan; GSO
regional)
26 compfoodpcrl : 'Comparable' food per capita real consumption (deflators: Jan; GSO
regional)
27 bestfoodrl : Best food household real consumption (deflators: Jan; SCOLI)
28 bestfoodpcrl : Best food per capita real consumption (deflators: Jan; SCOLI)
29 compnonfoodnom : 'Comparable' nominal housenhold nonfood consumption
30 compnonfoodrl : 'Comparable' food household real consumption (deflators: Jan; GSO
regional)
31 compnonfoodpcrl : 'Comparable' all per capita real consumption except food (deflators:
Jan; GSO re
32 comphhnom : 'Comparable' household nominal consumption
33 comphhrl: 'Comparable' household real consumption (deflators: Jan; GSO regional)
34 comppcnom : 'Comparable' per capita nominal consumption
35 comppcrl: 'Comparable' per capita real consumption (deflators: Jan; GSO regional)
36 bestnonfoodnom : Best nominal household nonfood consumption
37 bestnonfoodrl : Best food household real consumption (deflators: Jan; SCOLI)
38 bestnonfoodpcrl : Best all per capita real consumption except food (deflators: Jan;SCOLI)
39 besthhnom : Best household nominal consumption
40 besthhrl : Best household real consumption (deflators: Jan; SCOLI)
41 bestpcnom : Best per capita nominal consumption
42 bestpcrl : Best per capita real consumption (deflators: Jan; SCOLI)
43 bestrlpopquint : Population quintiles by Best real (low to high)44 bestrlpopquinturb : Urban population quintiles by Best real (low to high)Vietnam VHLSS 2010 Manual (Version 1.0)

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45 bestrlpopquintrur : Rural population quintiles by Best real (low to high)46 bestfoodpcnom : Best nominal per capita food consumption
47 compfoodpcnom : 'Comparable' nominal per capita food consumption
48 compricepcnom : 'Comparable' nominal per capita rice consumption
49 bestricepcnom : Best nominal per capita rice consumption
50 compnonricepcnom : 'Comparable' nominal non-rice per capita food consumption
51 bestnonricepcnom : Best nominal non-rice per capita food consumption
52 compnonfoodpcnom : 'Comparable' nominal per capita nonfood consumption
53 bestnonfoodpcnom : Best nominal per capita nonfood consumption### 2 : muc1a ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 matv: ID code
7 m1ac2: Sex
1 Male2 Female
8 m1ac3: Relationship
1 Household head
2 Wife/husband
3 Child
4 Father/mother
5 Paternal/maternal grandfather/grandmother
6 Paternal/maternal grandchild
7 Other relationships
9 m1ac4a: Month of birth
10 m1ac4b: Year of birth
11 m1ac5: Age
12 m1ac6: Marial status
1 Single
2 Married
3 Widowed
4 Divorced
5 Separated
13 m1ac7: Months have stayed household
14 m1ac8: Why has not lived household
1 Student studies in the country
2 Cadre studies in the country
3 Medical treament in the country/overseas
4 Newborn, new comer
5 Household head working away
6 Others
15 m1ac9: Place of registering for residency
1 At this dwelling within com./ward
2 Other place within this province
3 Another province
4 Others

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16 m1ac10

17 m1ac11n
18 m1ac11t

5 Never having registered household status: Province registering for residency
4 ***Undefined Label
6 ***Undefined Label
8 ***Undefined Label
17 ***Undefined Label
22 ***Undefined Label
40 ***Undefined Label
42 ***Undefined Label
54 ***Undefined Label
56 ***Undefined Label
58 ***Undefined Label
60 ***Undefined Label
62 ***Undefined Label
64 ***Undefined Label
70 ***Undefined Label
72 ***Undefined Label
77 ***Undefined Label
89 ***Undefined Label
99 Missing: Years staying in the province: Months staying in the province### 3 : muc1b ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m1bma: ID code
7 m1bc3: Sex
1 Male2 Female
8 m1bc4: Being servant, home worker, lodger or house sharer?
1 Sevant
2 Home worker
9 m1bc5: Age
10 m1bc6: Marital status
1 Never married
2 Married
3 Widowed
4 Devorced
5 Seperated
11 m1bc7a: The highest diploma of universalised and higher education
0 No degree
1 Primary school
2 Lower secondary school
3 Upper secondary school
8 College
9 University

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12 m1bc7b:

13 m1bc8
14 m1bc9::

15 m1bc10:

16 m1bc11n
17 m1bc11t::

10 Master
11 PhD
12 Others
The highest diploma of vocational education
0 No degree
4 Short-term technical worker
5 Long-term technical worker
6 Professional secondary shool
7 Vocational college
Months staying in the dwelling in the last 12 months
Place of registering for residency
1 At this dwelling within com./ward
2 Other place within this province
3 Another province
4 Others
Province registering for residency
4 ***Undefined Label
6 ***Undefined Label
8 ***Undefined Label
17 ***Undefined Label
22 ***Undefined Label
40 ***Undefined Label
42 ***Undefined Label
54 ***Undefined Label
56 ***Undefined Label
58 ***Undefined Label
60 ***Undefined Label
62 ***Undefined Label
64 ***Undefined Label
70 ***Undefined Label
72 ***Undefined Label
77 ***Undefined Label
89 ***Undefined Label
99 Missing
Years staying in the province
Months staying in the province### 4 : muc2 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 matv: Member code
7 m2c1: Which grade
8 m2c2a: The highest qualification - General education and college-level upwards
0 No qualification
1 Primary
2 Lower secondary
3 Higher secondary

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9 m2c2b:

10 m2c3:

11 m2c4:

12 m2c5:

13 m2c6:

4 Elementary vocational school
5 Middle-level vocational school
6 Professional school
7 Vocational college
8 College
9 University
10 MA/MSc
11 PhD
12 Others
The highest qualification - Vocational training
0 No qualification
1 Primary
2 Lower secondary
3 Higher secondary
4 Elementary vocational school
5 Middle-level vocational school
6 Professional school
7 Vocational college
8 College
9 University
10 MA/MSc
11 PhD
12 Others
Which type of school
1 Public
2 Semi-public
3 Community-established
4 Private
5 Others
Does [name] go to school now?
1 Yes
2 On summer vacation
3 No
Has [name] attended school over the past 12 months?
1 Yes
2 No
Level of education
0 Nursery, kindergarten
1 Primary
2 Lower secondary
3 Higher secondary
4 Elementary vocational school
5 Middle-level vocational school
6 Professional school
7 Vocational college
8 College
9 University
10 MA/MSc
11 PhD
12 Others

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14 m2c7
15 m2c8

16 m2c9
education?

: Which grade is [name] attending?
: Which school does [name] attend?
1 Public
2 Community-established
3 Private
4 Others: Reduction of or exemption from tuition fees or contributions to

17 m2c10a:

18 m2c10b:

19 m2c11a:

20 m2c11b:

21 m2c11c:

22 m2c11d:

23 m2c11e:

24 m2c11f:

25 m2c11g:

26 m2c11h:

27 m2c11i:

28 m2c11k

:

1 Yes
2 No
Reasons for reduction/exemption from tuition fees?
1 Poor households
2 Ethnic minorities
3 Households of fallen combatants
4 War invalids, sick soldiers, or with revolutionary merits
5 Deep, remote, especially difficult areas
6 Families in difficult circumstances
7 Primary school students
8 School doesn't collect tuition fees
9 Others
Reasons for reduction/exemption from contribution?
1 Poor households
2 Ethnic minorities
3 Households of fallen combatants
4 War invalids, sick soldiers, or with revolutionary merits
5 Deep, remote, especially difficult areas
6 Families in difficult circumstances
7 Primary school students
8 School doesn't collect tuition fees
9 Others
Tuition fees?
0 0
Charge for not following a relevant reference system?
0 0Contributions to school, class(construction fund,...)?
0 0
Parent fund, class fund?
0 0
Uniforms and costumes as stipulated?
0 0
Textbooks, reference books?
0 0
Other study instruments?
0 0
Coaching sessions for compulsory subjects in school?
0 0
Other education expenditures?
0 0
Total
0 0

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29 m2c12
past 12: Funds received from organisations that provide aid in education over the

30 m2c13:

31 m2c14:

32 m2c15a:

33 m2c15b:

34 m2c16:

0 0Values of scholarships and rewards received over the last 12 months?
0 0Expenditures for other education and training over the past 12 months?
0 0Toys bought in shops
1 Yes
2 No
Self-made toys
1 Yes
2 No
How many books/cartoon stories does your HH have for children?

### 5 : muc3a ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 matv: Member code
7 m3c2: Names of users of medical services over the last 12 months?
8 m3c3a: Sequence number
9 m3c3b: Medical establishment code
1 Village/hamlet clinics
2 Commune/ward clinics
3 Regional general clinics.
4 Urban/rural district hospitals
5 Provincial/city hospitals
6 Central hospitals
7 Other state-run hospitals
8 Private hospitals
9 Other hospitals
10 Private practice
11 Traditional herbal physicians
12 Individual medical services
13 Other medical establishments
10 m3c4: Reasons for [name] to visit medical establishments?
1 Vaccination
2 Pregnancy checks, insertion of intrauterine devices, abortion,birth delivery
3 Health checks and consultancy
4 Medical treatment
11 m3c5a: Number of visits for health checks/non-resident treatment of [name] overthe pas0 0
12 m3c5b: Costs for health checks/non-resident treatment of [name] over the past
12 months
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22

13 m3c6a
14 m3c6b
15 m3c7

16 m3c8
produc: Number of visits for resident treatment of [name] over the past 12 months?
0 0: Costs of visits for resident treatment of [name] over the past 12 months?
0 0: Did the household afford the medical check/treatment?
1 Yes, it did
2 It had some but not enough
3 No: If it did have some but not enough or didn't afford, did you have to sell
0 0### 6 : muc3b ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 matv: ID code
7 m3c9: Health insurance card in the last 12 months
1 Yes
2 No
8 m3c10a: The first type1 Booklet/card for children aged 6 or less
2 Health insurance card for the poor
3 Health insurance card for the near-poor
4 Free healthcare booklet/card/certificate
5 Health insurance card for policy beneficiaries
6 Other compulsory state-run health insurance card
7 Other compulsory non-state health insurance card
8 Voluntary health insurance card for students
9 Other voluntary health insurance card
10 Others
9 m3c10b: The second type1 Booklet/card for children aged 6 or less
2 Health insurance card for the poor
3 Health insurance card for the near-poor
4 Free healthcare booklet/card/certificate
5 Health insurance card for policy beneficiaries
6 Other compulsory state-run health insurance card
7 Other compulsory non-state health insurance card
8 Voluntary health insurance card for students
9 Other voluntary health insurance card
10 Others
10 m3c11: spent on health insurance
0 0
11 m3c12a: Out-service
1 Yes
2 No
12 m3c12b: In-service

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13 m3c13
14 m3c14
15 m3c15

1 Yes
2 No
: spent on purchasing medicines
0 0: spent on purchasing medical facilities
0 0: value of grants
0 0### 7 : muc4a ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 matv: ID code
7 m4ac1a: waged/salaried employment
1 Yes
2 No
8 m4ac1b: Involved in agri, fishery and farm
1 Yes
2 No
9 m4ac1c: involved bussiness, services
1 Yes
2 No
10 m4ac2: Working or not?
1 Yes
2 No
11 m4ac3a: Number of days
12 m4ac3m: Work description of the most time-consuming job
13 m4ac3: Occupation code of the most time-cosuming job
14 m4ac4c: Names of employing agencies
15 m4ac4m: Description of employing agencies' main tasks/products
16 m4ac4: Industry code
35 Production and distribution of electricity, gas, hot water, steam
and air conditioners
110 Agriculture and related services: crop production
140 Agriculture and related services: husbandry
160 Agriculture and related services: agricultural services
17 m4ac5: taken the most time-consuming job over the last 30 days
1 Yes
2 No
18 m4ac6: For how many days has...done it for the last 30 days
19 m4ac7: On average how many hours does...usually work for a days
20 m4ac8a: 8a.Economic types
1 Farming, forestry, aquaculture households / individuals
2 Independent production and business households
3 Collective
4 Private
5 State-run

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21 m4ac8b

22 m4ac9

6 Foreign-invested: 8b.Official?
1 Yes
2 No
: Has [name] received salaries, wages for this job?
1 Yes
2 No
: How much in cash and kind has [name] received from this job over the past

23 m4ac1030 day24 m4ac11: How much in salaries/wages, including that in kind, has[name] received
from this25 m4ac12a: Festive occasions, 1/5, 2/9, 22/12, Lunar Tet...
26 m4ac12b: Others (bonuses, uniforms, lunch, allowances for business trips,
sickness, labor
27 m4ac13a: Signing a payroll book?
1 Yes
2 No
28 m4ac13b: Paid leave / festive occasions?
1 Yes
2 No
29 m4ac13c: Social insurance?
1 Yes
2 No
30 m4ac14: Any other jobs in the last 12 months?
1 Yes
2 No
31 m4ac15a: For how many days has [name] performed the second most time-cosuming job
over th
32 m4ac15m: Work description of the second most time-cosuming job
33 m4ac15: Occupation code of the most time-cosuming job
34 m4ac16c: Names of employing agencies
35 m4ac16m: Description of main tasks/products of employing agencies/organizations
36 m4ac16: Industry code
35 Production and distribution of electricity, gas, hot water, steam
and air conditioners
110 Agriculture and related services: crop production
140 Agriculture and related services: husbandry
160 Agriculture and related services: agricultural services
37 m4ac17: taken the second most time-consuming job over the last 30 days
1 Yes
2 No
38 m4ac18: For how many days has...been doing this job last 30 days
39 m4ac19: For how many hours has...been doing this job for a day on average
40 m4ac20: Employer/owner?
1 Farming, forestry, aquaculture households / individuals
2 Independent production and business households
3 Collective
4 Private
5 State-run
6 Foreign-invested

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41 m4ac21

42 m4ac22
43 m4ac23
44 m4ac24a
45 m4ac24b
sickness
46 m4ac25

47 m4ac26
48 m4ac27
over t49 m4ac28a
50 m4ac28b
51 m4ac28cmonths52 m4ac28d
53 m4ac28emonths: Working for wage/salary?
1 Yes
2 No
: Total Wage/salary received in the past 1 months- second job: Total Wage/salary received in the past 12 months- second job: Income from bonus/ award received during public holidays: Other incomes: bonuses, uniforms, lunch, allowances for business trips,: Any other job for wage/salary?
1 Yes
2 No
: Income from any other job?
: Has received unemployment benefits, one-off severance pays, pensions, ...
1 Yes
2 No
: Has received from unemployment allowance in the past 12 months: Has received from one-off severance pay in the past 12 months: Has received from standard pension at a stipulated age in the past 12: Has received from premature pension in the past 12 months: Has received from allowance for loss of working capacity in the past 12### 8 : muc4b0 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b0ma: Code of land plot
1 Annual crop land
2 Perennial crop land
3 Forestry land
4 Water surface
5 Grassland
6 Gardens, ponds adjacent to residential land
7 Shifting-cultivation farmland
8 Others specify
7 m4b0c3: How much area of land does your family use or manage?
8 m4b0c4: Payment in cash and in-kind for land rent or contracting in the last 12
months?
9 m4b0c5: Amount in cash and in-kind obtained from land rental in the last 12 months### 9 : muc4b11 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code

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6 m4b11ma

7 m4b11c3
8 m4b11c4
9 m4b11c5
10 m4b11c6
11 m4b11c7
12 m4b11c8: Rice code
1 Winter-spring ordinary rice
2 Summer-autumn ordinary rice
3 Ten-month or autumn-winter rice
4 Ordinary rice planted in terraced field
5 Year-round ordinary rice
6 Year-round glutinous rice
7 Year-round specialty rice
: Area in sqm for planting rice
: Output in KGs?
: Amount in KGs lost due to pests/rotting...?
: Sold/bartered in KGs?
: Amount sold/bartered?
: Value received from sold/batrtered### 10 : muc4b12 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b12ma: Staple food crops, non-staple food crops, and other annual crops
8 Maize (corn)
9 Sweet potato
10 Cassava/manioc
11 Other staple food crops
12 Potato
13 Morning glory vegetable
14 Kohlrabi
15 Cabbage, cauliflower
16 Cruciferous vegetables
17 Edible beans
18 Tomato19 Seasoning herb
20 Other edible vegetables, fruits and roots
21 Other annual crops (flowers, etc.)
7 m4b12c3: Area in sqm for planting rice
8 m4b12c4: Output in KGs?
9 m4b12c5: Sold/bartered in KGs?
10 m4b12c6: Amount sold/bartered?
11 m4b12c7: Value received from sold/batrtered### 11 : muc4b13 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b13ma: Annual and perennial industrial crops
22 Soya bean/soybean

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7 m4b13c3a
8 m4b13c3b::

9 m4b13c4
10 m4b13c5
11 m4b13c6
12 m4b13c7

:
:
:
:

23 Peanut/groundnut
24 Sesame
25 Sugarcane
26 Tobacco, rustic tobacco
27 Cotton
28 Jute, ramie (China grass)
29 Sedge
30 Other industrial annuals
31 Tea32 Coffee
33 Rubber
34 Pepper
35 Coconut
36 Mulberry
37 Cashew
38 Other industrial perennials
Area in sqm for planting rice
Code
1 M2
2 TreeOutput in KGs?
Sold/bartered in KGs?
Amount sold/bartered?
Value received from sold/batrtered### 12 : muc4b14 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b14ma: Fruit trees
39 Citrus
40 Pineapple
41 Banana
42 Mango, horse mango
43 Indian jujube
44 Grape
45 Plum
46 Papaya
47 Longan, lychee, rambutan
48 Sapodilla
49 Sugar-apple, soursop
50 Jackfruit, durian
51 Mangosteen
52 Other fruit trees
53 Other perennials
54 Seedlings
55 Decorative trees
7 m4b14c3a : Area in sqm for planting rice

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8 m4b14c3b

9 m4b14c4
10 m4b14c5
11 m4b14c6
12 m4b14c7: Code

:
:
:
:

1 M2
2 TreeOutput in KGs?
Sold/bartered in KGs?
Amount sold/bartered?
Value received from sold/batrtered### 13 : muc4b15 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b15ma: Code of crop by-products
1 Straw, thatch
2 Sweet potato leaves and stems
3 Cassava and maize stems
4 Stems of beans of all kinds
5 Sugarcane leaves and tops
6 Jute, ramie stems
7 Mulberry plant stems
8 Firewood
9 Other crop by products
7 m4b15c2: Value from sales/barter
8 m4b15c3: Value kept for household's animal food
9 m4b15c4: Value kept for other purposes?
10 m4b15c5: Total value### 14 : muc4b16 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b16ma: Crop planting expense code
1 Seeds
2 Saplings
3 Chemical fertilizers
4 Organic fertilizers(seft-provided)
5 Organic fertilizers (bought)
6 pesticides
7 Herbicides
8 Small, non-durable tools
10 Small repairs, maintenance
11 Fixed asset depreciation
12 Land rental and procurement
13 Hire of assets, machines, vehicles and mechanical work; hire oftransport
14 Hire of ploughing cattle

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7 m4b16c2a
8 m4b16c2b
9 m4b16c2c
10 m4b16c2d
11 m4b16c2e
12 m4b16c2e1
13 m4b16c2e2

:
:
:
:
:
:
:

15 Paying outsourced labour
16 Inner-field irrigation
17 Payment of interest on loans taken out for production
18 Other costs
91 Electricity
92 Coal93 Coal briquette
94 Petrol
95 Kerosene
96 Mazut oil
97 Diesel oil
98 LPG
99 Natural gas
910 Firewood
911 Other energy and fuels
Expenditure on rice crop
Expenditure on starchy and other food crops
Expenditure on industrial crops
Expenditure on fruit crops and others, excluding forestry trees
Total Crop Planting Expenditure
State subsidy
Other assistance### 15 : muc4b17 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b17ma: Code of chemical fertilizers
1 Nitrogenous
2 Phosphat
3 Potassium
4 NPK
5 Other chemical fertilizers
7 m4b17c2: Rice8 m4b17c3: Other staple and food trees
9 m4b17c4: Industrial trees
10 m4b17c5: Fruit trees and others
11 m4b17c6: Total### 16 : muc4b21 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b21ma: Livestock breeding code
1 Live pig pork
2 Live buffalo and cow meat

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7 m4b21c3
8 m4b21c4a
9 m4b21c4b
10 m4b21c5

:
:
:
:

3 Horses
4 Sheep, goats
5 Chickens
6 Ducks, thai ducks, geese
7 Other poultry
8 Pigs for breed
9 Buffaloes, oxen, cows for breed
10 Other cattle for breed
11 Other livestocks
12 Poultry eggs
13 Fresh milk
14 Silkworm cocoond
15 Bee's honey
16 Other livestock(non-slaughtered)
17 Other income from breeding
18 Livestock breeding by products
19 Hunting, trapping and domesticating forest animals and birds
Quantity obtained over the last 12 months?
Quantity sold/bartered
Value sold/bartered
Value of the output obtained over the last 12 months### 17 : muc4b22 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b22ma: Code of livestock breeding
1 Pigs2 Water buffalos, cows
3 Horses
4 Sheep, goats
5 Chickens
6 Ducks, Thai ducks, geese
7 Other poultry
8 Bees9 Silkworms
10 Others
11 Hungtin trapping and domesticating forest animals and birds
7 m4b22c7: Expenditure on Livestock breeds
8 m4b22c8: Expenditure on feed
9 m4b22c9: Expenditure on Medicine for cattle, poultry
10 m4b22c10a : Expenditure on Electricity
11 m4b22c10b : Expenditure on Coal
12 m4b22c10c : Expenditure on Coal/Briquette
13 m4b22c10d : Expenditure on Petrol
14 m4b22c10e : Expenditure on Kerosene
15 m4b22c10f : Expenditure on Mazut oil
16 m4b22c10g : Expenditure on Diesel oil

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17 m4b22c10h
18 m4b22c10i
19 m4b22c10j
20 m4b22c10k
21 m4b22c11
22 m4b22c12
23 m4b22c13
24 m4b22c14
production
25 m4b22c15
26 m4b22c16
27 m4b22c17
28 m4b22c18
29 m4b22c19

:
:
:
:
:
:
:

:
:
:
:
:

Expenditure on LPG
Expenditure on Natural gas
Expenditure on Firewood
Expenditure on Others
Water
Expenditure on fixed assets Depreciation
Expenditure on Land rental and auction: Expenditure on Rental of assets, machinery, equipment, means ofPayment for hired laborers
Payment for loan interest for breeding
Business taxes
Other expenses
Total livestock breeding expenditure### 18 : muc4b31 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b31ma: Agricultural Service code
1 Soil preparation
2 Irrigation
3 Pest and disease control
4 Rice plucking, semi-processing
5 Other services
7 m4b31c3: Number of operating months
8 m4b31c4: Average monthly income
9 m4b31c5: Total Agricultural Service Income### 19 : muc4b32 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b32ma: Agricultural Services expense code
1 Soil preparation
2 Irrigation
3 Pest and disease control
4 Rice plucking, semi-processing
5 Other services
7 m4b32c7: Expenditure on materials
8 m4b32c8: Expenditure on small, non-durable iterms
9 m4b32c9a : Expenditure on Electricity
10 m4b32c9b : Expenditure on Coal
11 m4b32c9c : Expenditure on Coal briquette
12 m4b32c9d : Expenditure on Petrol
13 m4b32c9e : Expenditure on Kerosene

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14 m4b32c9f
15 m4b32c9g
16 m4b32c9h
17 m4b32c9i
18 m4b32c9j
19 m4b32c9k
20 m4b32c10
21 m4b32c11
22 m4b32c12
23 m4b32c13
24 m4b32c14
25 m4b32c15
26 m4b32c16
27 m4b32c17

:
:
:
:
:
:
:
:
:
:
:
:
:
:

Expenditure on Mazut oil
Expenditure on Diesel oil
Expenditure on LPG
Expenditure on Natural gas
Expenditure on Fuelwood
Expenditure on Others
Expenditure on minor repairs, maintenance
Fixed assets depreciation
Expenditure on rental of house, workshops,...
Payment for hires outside laborers
Payment for loan interest for businessBusiness taxes
Other expenditure
Total Agricultural Services Expenditure### 20 : muc4b41 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b41ma: Forestry product code
1 Mu oil trees
2 Cinnamon
3 Anise4 Pine5 Vamish trees
6 Trees for wood
7 Bamboo
8 Fan palm trees
9 Water coconut
10 Other forestry trees
11 Wood
12 Forest plantation, protection, maintenance, improvement
13 Trees for breeding and other products collected from forests
14 Other forestry services
7 m4b41c3a: Value of turnover and harvested output/Forestry land for production
allocated to
8 m4b41c3b : Value of turnover and harvested output/Forestry land for production notallocate
9 m4b41c3c: Value of turnover and harvested output/Protective forestry land
allocated to hou
10 m4b41c3d: Value of turnover and harvested output/Protective forestry land notallocated to
11 m4b41c3e : Value of turnover and harvested output/Other forestry land
12 m4b41c3f : Value of turnover and harvested output/Total
13 m4b41c4: Value of sales/bartered### 21 : muc4b42 ###########
1 tinh: Province

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33

2 huyen
3 xa
4 diaban5 hoso6 m4b42ma

:
:
:
:
:

7 m4b42c1
8 m4b42c2
9 m4b42c3
10 m4b42c4a
11 m4b42c4b
12 m4b42c4c
13 m4b42c4d
14 m4b42c4e
15 m4b42c4f
16 m4b42c4g
17 m4b42c4h
18 m4b42c4i
19 m4b42c4j
20 m4b42c4k
21 m4b42c5
22 m4b42c6
23 m4b42c7
24 m4b42c8
25 m4b42c9
26 m4b42c10
27 m4b42c11
28 m4b42c12
29 m4b42c13
30 m4b42c14

:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:
:

District
CommuneEnumerator area
Household code
Forestry activity code
1 Forestry activities
2 Forestry services
Expenditure on seeds, breeds
Expenditure on various type of fertilizers
Expenditure on small, non-durable tools
Expenditure on Electricity
Expenditure on Coal
Expenditure on Coal briquette
Expenditure on Petrol
Expenditure on Kerosene
Expenditure on Mazut (oil)Expenditure on Diesel (oil)Expenditure on LPG
Expenditure on Natural gas
Expenditure on Fire-wood
Expenditure on others
Expenditure on small repairs, maintenance
Fixed assets depreciation
Expenditure on land rental and auction
Expenditure on rent of assets, machinery,..
Expenditure on hiring animals for droughing and pulling
Hiring laborers from outside
Loan interest
Business taxes
Other expenditure
Total expenditure for forestry ...

### 22 : muc4b51 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b51ma: Aquaculture code
1 Aquacultural raising
2 Auquacultural catching
3 Aquacultural sevices
11 Fish12 Shrimp
13 Shrimp and fish for breed
14 Other aquacultural products
21 Fish22 Shrimp
23 Other aquacultural products
7 m4b51c3: Total catch over the past 12 months?

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8 m4b51c4a
9 m4b51c4b
10 m4b51c5: Quantity sold/bartered: Value sold/bartered: Total values of products gained over the past 12 months?

### 23 : muc4b52 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4b52ma: Aquacultural breed code
1 Raising
2 Catching
3 Services
7 m4b52c6: Expenditure on aquacultural breeds
8 m4b52c7: Expenditure on feeds
9 m4b52c8: Expenditure on small, non-durable tools
10 m4b52c9a : Expenditure on Electricity
11 m4b52c9b : Expenditure on Coal
12 m4b52c9c : Expenditure on Coal briquette
13 m4b52c9d : Expenditure on Petrol
14 m4b52c9e : Expenditure on Kerosene
15 m4b52c9f : Expenditure on Mazut (oil)
16 m4b52c9g : Expenditure on Diesel (oil)
17 m4b52c9h : Expenditure on LPG
18 m4b52c9i : Expenditure on Natural gas
19 m4b52c9j : Expenditure on Fuel-wood
20 m4b52c9k : Expenditure on Others
21 m4b52c10 : Expenditure on Salt, ice water
22 m4b52c11 : Expenditure on small repairs, maintenance
23 m4b52c12 : Expenditure on Fixed assets depreciation
24 m4b52c13 : Expenditure on land rental and auction
25 m4b52c14 : Expenditure on rental of assets, machinery, equipment
26 m4b52c15 : Payment for hired laborers
27 m4b52c16 : Payment for loan interest
28 m4b52c17 : Business taxes
29 m4b52c18 : Other expenses
30 m4b52c19 : Total aquacultural expenditure### 24 : muc4c1 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4c1ma: Order of activities
7 m4c1c2: Industry code
35 ***Undefined Label
68 ***Undefined Label
84 ***Undefined Label

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8 m4c1c3
9 m4c1c4::

10 m4c1c5
11 m4c1c6
12 m4c1c7:::

13 m4c1c8
or not:85 ***Undefined Label
99 ***Undefined Label
Number of months this activity under operation for the past 12 months
HH's member owned all of the business or not
1 Yes
2 No
Number of households that own the business
The percentage of income from this business received by your household
Having business license or not
1 Yes, enterprise
2 Yes, private trading
3 No
The product of this activity is for selling/bartering/supplying services

:

1 Yes
2 No
For months business under operation for past 12 months, what was the

14 m4c1c9
average mon
15 m4c1c10
16 m4c1c11
and ser

17 m4c1c12
18 m4c1c13
12 months?

19 m4c1c14
20 m4c1c15
past 12 mo

21 m4c1c16
22 m4c1c17
23 m4c1c18: The revenue for the past 12 months: HH exchanged goods and services produce by this business for other goods
1 Yes
2 No
: The value of exchanged goods and services for past 12 months?
: HH consumed any goods and services produced by this business for past
1 Yes
2 No
: The value of goods and services consumed by your HH past 12 months?
: HH consumed or sold and by-products produced by this business for the
1 Yes
2 No
: The value of by-products consumed or sold by your HH for past 12 months?
: Total income: Total income allocated for HH### 25 : muc4c2 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4c2ma: Order of activities
7 m4c2c19: Main and minor materials
8 m4c2c20: Small, cheap, undurable tools
9 m4c2c21a : Electricity
10 m4c2c21b : Coal
11 m4c2c21c : Coal briquette
12 m4c2c21d : Petrol

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36

13 m4c2c21e
14 m4c2c21f
15 m4c2c21g
16 m4c2c21h
17 m4c2c21i
18 m4c2c21j
19 m4c2c21k
20 m4c2c22
21 m4c2stt
22 m4c2c23
23 m4c2c24
24 m4c2c25
25 m4c2c26
26 m4c2c27
27 m4c2c28
28 m4c2c29
29 m4c2c30
30 m4c2c31
31 m4c2c32
32 m4c2c33

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Kerosene
Mazut (oil)Diesel (oil)LPG
Natural gas
Firewood
OthersWater
STTMinor repair, maintenance
Depreciation of fixed assets
Rent of land, workshops, shops, machines and other means of production
Transport (rents and charges)
Costs of labour
Loan interests
Taxes, fees and charges regarded as taxes
Costs of treatment of sewage and solid waste
Other costs
Total costs
Total costs divided by household(s)### 26 : muc4d ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m4dc2_01 : Oversea remittance received in both cash and kinds
7 m4dc2_02: Cash and kind (value) for domestic use sent as a gift... residing andworking ov
8 m4dc2_03 : Gift of housing
9 m4dc2_04 : Gift of automobile(s) for domestic use
10 m4dc2_05 : Other gifts of assets for domestic use
11 m4dc2_06 : Domestic remittance recieved in both cash and kind
12 m4dc2_07: Cash and kind (value) for domestic use sent as a gift or... who work as
seasonal
13 m4dc2_08 : Gift of housing
14 m4dc2_09 : Gift of automobile(s) for domestic use
15 m4dc2_10 : Other gifts of assets for domestic use
16 m4dc2_11 : Wedding cash
17 m4dc2_12 : Funeral cash tributes
18 m4dc2_13 : Social benefits for war invalids, families of fallen combatants...
19 m4dc2_14 : Social benefits for beneficiary households of social policies
20 m4dc2_15 : Assistance to overcome natural disasters and fire
21 m4dc2_16 : Income from various types of insurance
22 m4dc2_17 : Withdrawal from saving, stocks, obtaining debts
23 m4dc2_18 : Income from leasing workshops, machines, assets, equiment
24 m4dc2_19: Revenues as donations from organizations, humanitarian aid, associations
and uni
25 m4dc2_20 : Others

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26 m4dc2_21
27 m4dc2_22
28 m4dc2_23
29 m4dc2_24

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2. Tr ﾞ gi ｸ nh ﾋ n ｮｭ祥 trong 12 th ｸ ng qua
2. Tr ﾞ gi ｸ nh ﾋ n ｮｭ祥 trong 12 th ｸ ng qua
2. Tr ﾞ gi ｸ nh ﾋ n ｮｭ祥 trong 12 th ｸ ng qua
2. Tr ﾞ gi ｸ nh ﾋ n ｮｭ祥 trong 12 th ｸ ng qua### 27 : muc5a1 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m5a1ma: Consumed items
101 Fragrant, specialty rice
102 Sticky rice
110 Pork
111 Beef
112 Buffalo's meat
113 Chicken
114 Duck and other poultry meat
115 Other meat
116 Processed meat
118 Fresh fish, shrimp
120 Other seafoods
121 Eggs of Chicken or duck124 Beans of all kinds
134 Fruit
139 Sugar, molassess
140 Cakees, candy, jam
144 Alcohol
145 Beer
148 Coffee
150 Dried tea
151 Cigarettes, tobacco
153 Outdoors eating
154 Other things
7 m5a1c2a: Quantity bought/bartered
8 m5a1c2b: Value bought/bartered
9 m5a1c3a: Quantity self-supplied/received
10 m5a1c3b: Value self-supplied/received### 28 : muc5a2 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m5a2ma: Things has HH consumed for last 12 months
101 Plain rice
102 Sticky rice
103 Maize

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104 Cassaca
105 Various types of potatoes
106 Wheat grains,bread,wheat
107 Noodle, pho noodle, instant rice soup
108 Rice noodle
109 Vermicelli
110 Pork
111 Beef
112 Buffalo's meat
113 Chicken
114 Duck and other poultry meat
115 Other meat
116 Processed meat
117 Lard,cooking oil
118 Fresh fish, shrimp
119 Dried and processed fish shrimp
120 Other aquatic producs and seafoods
121 Chicken or duck eggs
122 Tofu
123 Peanuts, seasame seeds
124 beans
125 Various kinds of fresh pea
126 Water morning glory
127 Kohirabi
128 cabbage
129 tomatoes
130 Other vegetables
131 Oranges
132 Bananas
133 Mangoes
134 Other fruits
135 Fish sauce and dipping sauce
136 Salt
137 Spices, powdered soup
138 Glutamale
139 Sugar, molasses
140 Cakes, candied fruits, sweets
141 Condensed milk, powdered milk
142 Ice creams, yoghurt
143 fresh milk
144 Alcohol
145 Beer
146 bottle,canned,boxed beverages
147 Instant coffee
148 Powdered coffee
149 Instant tea powder
150 Other dried coffee
151 Cigarettes, tobacco
152 Betel leaf, areca nut, lime
153 Outdoors meals

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7 m5a2c2a
8 m5a2c2b
9 m5a2c3a
10 m5a2c3b
11 m5a2c4a
12 m5a2c4b
13 m5a2c5a
14 m5a2c5b

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154 Others
Quantily months bought/bartered
Value months bought/bartered
Quantily purchase or exchange
Value purchase or exchange
Quantily self-subsidy
Value self-subsidy
Quantily gift,donation,present
Value gift,donation,present### 29 : muc5b1 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m5b1ma: which of the Items has your HH consumed over the last 30 days?
201 Pocket money for children
202 Coal
203 Coal briquette
204 Petroleum
205 Kerosene
206 Mazut oil
207 Diesel oil
208 LPG
209 Natural gas
210 Firewood,husk,sawdust
211 Farm by-products
212 Other type of fuel213 Deposit fees for vehicles
214 Matches,candles,fire stones,lighters
215 Soap/detergent,softening solution
216 Dish washing,floor-cleaning liquid
217 Shampoo, conditioning
218 Bath soap,shower gel
219 Skin-nourishing cream,powder and lipsticks
220 Toothpaste, tooth brushes
221 Toilet paper, razorblades
222 Book, newspaper, magazines
223 Books,newspapers for children
224 Fresh flowers
225 Lottery tickets
226 Items for workship
227 Haircut, hairdressing
228 Other daily expenditures
7 m5b1c2: Value bought per month
8 m5b1c3: Purchase or exchange value
9 m5b1c4: value self-subsidy
10 m5b1c5: value gift,donation,present

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40### 30 : muc5b2 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m5b2ma: which is the Items HH has consumed for last 12 months?
7 m5b2c2: Value bought per year
8 m5b2c3: Value Self generated/given value per year### 31 : muc5b3 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m5b3c2_1 : Fees and charges on administrative and legal services for daily-life
requirement
7 m5b3c2_2 : Contributions to various funds over the past 12 months
8 m5b3c2_3: Cash contributions in lieu of public labor and other obligations overthe past 1
9 m5b3c2_4 : All kinds of taxes over the past 12 months
10 m5b3c2_5 : Wedding of a household member over the past 12 months
11 m5b3c2_6 : Funeral and death anniversaries over the past 12 months
12 m5b3c2_7 : Organization of parties and entertaining activities over the past 12
months13 m5b3c2_8 : Gifts, donation, support,..over the past 12 months
14 m5b3c2_9 : Other expenses over the past 12 months### 32 : muc6 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m6ma_01: Automobile
7 m6ma_02: Motorbike
8 m6ma_03: Bicycle
9 m6ma_04: Ship,boat,junk,outer part with a motor
10 m6ma_05: Ship,boat,junk,outer part without a motor
11 m6ma_06: Other means of travel
12 m6ma_07: Pumping machine
13 m6ma_08: Electricity generator
14 m6ma_09: Printer
15 m6ma_10: Fax machine
16 m6ma_11: Landline telephone
17 m6ma_12: Mobile telephone
18 m6ma_13: Sewing machine
19 m6ma_14: Video player,DVD player,digital player,satellite antenna
20 m6ma_15: Color TV

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21 m6ma_16
22 m6ma_17
23 m6ma_18
24 m6ma_19
25 m6ma_20
26 m6ma_21
27 m6ma_22
28 m6ma_23
29 m6ma_24
30 m6ma_25
31 m6ma_26
32 m6ma_27
33 m6ma_28
34 m6ma_29
35 m6ma_30
36 m6ma_31
37 m6ma_32
38 m6ma_33
39 m6ma_34
40 m6ma_35
41 m6ma_36
42 m6ma_37

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Black and white TV
Music rack
Radio/radio-cassette player
Disk player
ComputerCamera,video recorder
Refrigerator
Air conditioner
Washing machine, drying machineElectric fanwater heater
GAs cooker,magnetic cooker
Electric cooker,electric rice cooker,pressure cooker
Trolleys
Cupboard,cabinet,wardrobe
Bed
Desk,chair,long bench,dressing table
Vacuum cleaner,dehumidifier,water filter
Microwave oven,banking oven
Juice extractor,citrus juicer
Piano,keyboard
Others### 33 : muc6b ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m6c2: Durables household has puchased or received or self-produced over the
past 10 ye
7 m6c3: Quantity
8 m6c4t: Purchased month
9 m6c4n: Purchased year
10 m6c5: The value at purchase reception,self-production
11 m6c6: Current price### 34 : muc7 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m7c1: No of houses/flats HH living in
7 m7c2: Total living area?
8 m7c3: The main material as poles(or pillars,or carrying walls of the house
1 Reinforcement concrete
2 Bricks/stones
3 Iron/steel/good wood
4 Poor-quality wood/bamboo

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9 m7c4

10 m7c5

11 m7c6

12 m7c7
13 m7c8
14 m7c9
15 m7c10

16 m7c11

17 m7c12
18 m7c13
19 m7c14

20 m7c15a

21 m7c15b

22 m7c16
23 m7c17

5 Others: The main material as roofing of the house
1 Reinforcement concrete
2 Tiles (cement, terracotta)
3 Roof slabs (cement, metal)
4 Leave/straw/rolled roofing
5 Others: The main meterial as walls or surounding of the house
1 Reinforcement concrete
2 Bricks/stones
3 Wood/metal
4 Calcareous soil/straw
5 Bamboo partitions/hardboards
6 Others: Does your household pay rents?
1 Yes
2 No
: How much HH spent on rents over past 12 months?
: What is the duration of existing contract?
: Cost of the house HH living in at current price?
: Does HH have any other land plots or houses/flats?
1 Yes
2 No
: Does HH receive rents from those residential land lost or house
1 Yes
2 No
: How much has HH received from leasing residential land and house: Expenditure on house repair and maintenance over past 12 months: The main drinking water supply of HH
1 tap wate reaching the house
2 Public tap water
3 drilled wells
4 protected dug well
5 unprotected dug well
6 Protected stream water
7 Unprotected stream water
8 Bought water
9 Rain water
10 Others: Do HH treat driking water by boiling
1 Yes
2 No
: Do HH treat driking water by a filter or chemicals
1 Yes
2 No
: Money HH spent on water for driking and other over past 12 months: Type of toilet
1 spetic/semi-spetic tank2 suilabh
3 double spetic tank

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24 m7c18:

25 m7c19
26 m7c19k
27 m7c20
28 m7c21::::

29 m7c22:

30 m7c23:

4 fishing bridge
5 Others
6 NoneMain source of lighting?
1 National-grid electricity
2 battery lamp, resin torch
3 gas, oil, kerosene lamps
4 others
For last month,How much money has HH spent on eclectricity?
For last month,how many KWs has HH consumed?
Money paid for electricity in the past 12 months
How has HH disposed garbage?
1 Somebody else collects it
2 Dumping into ponds, lakes, rivers, streams
3 Dumping in a nearby site
4 Landfill burial
5 Burning
6 Others
Money paid for daily-life waste in the past 12 months
1 collected
2 dumped in river/lake
3 dumped in a site nearby
4 Landfill burial
5 buried
6 Others### 35 : muc8 ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m8c1a: HH classified as a poor of the commune/ward in the following y2006?
1 Yes
2 No
7 m8c1b: HH classified as a poor of the commune/ward in the following y2007?
1 Yes
2 No
8 m8c1c: HH classified as a poor of the commune/ward in the following y2008?
1 Yes
2 No
9 m8c1d: HH classified as a poor of the commune/ward in the following y2009?
1 Yes
2 No
10 m8c1e: HH classified as a poor of the commune/ward in the following y2010?
1 Yes
2 No
11 m8c21_01 : Support in purchasing health insurance cards 2009
1 Yes

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12 m8c21_02
poor 20

2 No
3 Doesnt know
: Reduction of and exemption from costs of medical checks/treament for the

1 Yes
2 No
3 Doesnt know
13 m8c21_03 : reduction of and exemption from tuition fees for the poor 2009
1 Yes
2 No
3 Doesnt know
14 m8c21_04 : Policy-based scholarships 2009
1 Yes
2 No
3 Doesnt know
15 m8c21_05 : Vocational training for the poor and low-income earners 200916 m8c21_06 : Support in housing and residential land for poor households 2009
1 Yes
2 No
3 Doesnt know
17 m8c21_07: Support in cleaning/improving daily-life water supplies for poor
households 2009
1 Yes
2 No
3 Doesnt know
18 m8c21_08 : Providing productive land for poor ethnic minorities households 2009
1 Yes
2 No
3 Doesnt know
19 m8c21_09 : Extension services in agriculture, forestry and fisheries 2009
1 Yes
2 No
3 Doesnt know
20 m8c21_10 : Support in migrating abroad for employment 2009
1 Yes
2 No
3 Doesnt know
21 m8c21_11 : Food aid 2009
1 Yes
2 No
3 Doesnt know
22 m8c21_12 : Subsidized petroleum/kerosene for fishing boat(s)/vessel(s) 2009
1 Yes
2 No
3 Doesnt know
23 m8c21_13 : Preferential credit for the poor 2009
1 Yes
2 No
3 Doesnt know
24 m8c21_14 : Support in machinery, production inputs 2009

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25 m8c21_15

26 m8c22_01

27 m8c22_02
poor 20

1 Yes
2 No
3 Doesnt know
: others 2009
1 Yes
2 No
3 Doesnt know
: Support in purchasing health insurance cards 2010
1 Yes
2 No
3 Doesnt know
: Reduction of and exemption from costs of medical checks/treament for the

1 Yes
2 No
3 Doesnt know
28 m8c22_03 : reduction of and exemption from tuition fees for the poor 2010
1 Yes
2 No
3 Doesnt know
29 m8c22_04 : Policy-based scholarships 2010
1 Yes
2 No
3 Doesnt know
30 m8c22_05 : Vocational training for the poor and low-income earners 2010
31 m8c22_06 : Support in housing and residential land for poor households 2010
1 Yes
2 No
3 Doesnt know
32 m8c22_07: Support in cleaning/improving daily-life water supplies for poor
households 2010
1 Yes
2 No
3 Doesnt know
33 m8c22_08 : Providing productive land for poor ethnic minorities households 2010
1 Yes
2 No
3 Doesnt know
34 m8c22_09 : Extension services in agriculture, forestry and fisheries 2010
1 Yes
2 No
3 Doesnt know
35 m8c22_10 : Support in migrating abroad for employment 2010
1 Yes
2 No
3 Doesnt know
36 m8c22_11 : Food aid 2010
1 Yes
2 No
3 Doesnt know

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37 m8c22_12

38 m8c22_13

39 m8c22_14

40 m8c22_15

41 m8c2a
42 m8c2b
43 m8c3
in 201044 m8c945 m8c10a: Subsidized petroleum/kerosene for fishing boat(s)/vessel(s) 2010
1 Yes
2 No
3 Doesnt know
: Preferential credit for the poor 2010
1 Yes
2 No
3 Doesnt know
: Support in machinery, production inputs 2010
1 Yes
2 No
3 Doesnt know
: others 2010
1 Yes
2 No
3 Doesnt know
: Number of months of vocational training provided: The total area that HH has ben provided: Borrowed from or remained to preferential credit schemes for the poor
1 yes
2 no
: Compared with 2006, has HH member's life been improved?
1 Yes, very much
2 Yes
3 unchanged
4 Worse5 does/t know
: The first reason why life is worse
1 Increased production costs in agriculture, forestry and fisheries
2 Low selling prices of agricultural, forestry and fisheries

products
3 Cattle and poultry suffer from epidemics or death
4 Droughts, floods, pests, and harvest loss affect agricultural,
forestry and fisheries production
5 Household member(s) is sick or dies
6 High prices of food, foodstuff, and other consumer goods
7 Low incomes
8 Job loss or underemployment
9
Conflicts
orotherproblems
amongfamilymembers/friends/neighbors
10 Decreased arable land/water surface for aquaculture production
11 Unfortunate events
12 others
46 m8c10b: The second reason why life is worse
1 Increased production costs in agriculture, forestry and fisheries
2 Low selling prices of agricultural, forestry and fisheries
products
3 Cattle and poultry suffer from epidemics or death
4 Droughts, floods, pests, and harvest loss affect agricultural,

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forestry and fisheries production
5 Household member(s) is sick or dies
6 High prices of food, foodstuff, and other consumer goods
7 Low incomes
8 Job loss or underemployment
9
Conflicts
orotherproblems
amongfamilymembers/friends/neighbors
10 Decreased arable land/water surface for aquaculture production
11 Unfortunate events
12 others
47 m8c10c: The third reason why life is worse
1 Increased production costs in agriculture, forestry and fisheries
2 Low selling prices of agricultural, forestry and fisheries
products
3 Cattle and poultry suffer from epidemics or death
4 Droughts, floods, pests, and harvest loss affect agricultural,
forestry and fisheries production
5 Household member(s) is sick or dies
6 High prices of food, foodstuff, and other consumer goods
7 Low incomes
8 Job loss or underemployment
9
Conflicts
orotherproblems
amongfamilymembers/friends/neighbors
10 Decreased arable land/water surface for aquaculture production
11 Unfortunate events
12 others
48 m8c11a: consumtion of food over the last 30 days
1 insufficient
2 sufficient
3 more than sufficient
4 No comment
49 m8c11b: consumtion of foodstuff over the last 30 days
1 insufficient
2 sufficient
3 more than sufficient
4 No comment
50 m8c12a: comsumtion of electricity over the last 30 days
1 insufficient
2 sufficient
3 more than sufficient
4 No comment
51 m8c12b: comsumtion of water over the last 30 days
1 insufficient
2 sufficient
3 more than sufficient
4 No comment
52 m8c12c: comsumtion of housing over the last 30 days
1 insufficient
2 sufficient
3 more than sufficient

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53 m8c13

4 No comment: comsumtion of clothing and footwear over the last 30 days
1 insufficient
2 sufficient
3 more than sufficient
4 No comment### 36 : muc8vayno ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 m8ma: Order
7 m8c4: Which preferential credit scheme has your household borrowed
from/remained indeb
1 Social Policy Bank
2 Employment Support Fund
3 Poverty Reduction Fund
4 Socio-political organisations
5 Others
8 m8c5: Value of this loan?
9 m8c6a: The interest rate of this loan?
10 m8c6b: Time unit
1 month
2 quarter
3 6 months
4 year
11 m8c7: Does your household have to pay any costs to get this loan?
12 m8c8: The (outstanding) balance of this loan? (including principal andinterest)?
### 37 : ttchung ###########
1 tinh: Province
2 huyen: District
3 xa: Commune
4 diaban: Enumerator area
5 hoso: Household code
6 quyen: Income/Income & Expenditure
1 Income & Expenditure
2 Income
7 tsphieu:
8 ttnt: Urban/Rural
1 Urban
2 Rural
9 dantoc: Household head's ethnicity
10 phdich: Interpretation
1 Yes
2 No
11 dtv: Surveyor's ID code

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12 dt
13 ngaydt
14 thangdt
15 tsnguoi
16 m1b1:::::

Team leader' ID code
Date of survey
Month of survey
Hosehold size
Is there any a servant, home worker, lodger or house sharer?
1 Yes
2 No
17 tsmuc1b: Total number of home worker
18 m2act: Total Quest11k And Quest 14
19 m2atn: 2TN. C 駭 g c ｩ u 12 v ｵ 13 (q.xanh)
20 m2btn: Total Quest 12 and Quest 13
21 m4atn1: Total of Q11-section 4A
22 m4atn2: Total of Q12a and 12b-section 4A
23 m4atn3: Total of Q23-section 4A
24 m4atn4: Total of Q24a and 24b section 4A
25 m4atn5: Total of Q26 section 4A
26 m4atn6: Total of Q28 section 4A
27 m4atn: Total income from wages
28 m4b21a: Raised livestock in past 12 month?
1 Yes
2 No
29 m4b21b: Was the damage caused by natural disaster, pest diseases,...?
1 Yes
2 No
30 m4b21t: Total of question 5 from line 1 to 18
31 kydt: Ky dieu tra
32 m4b0c1: Used or managed land for agri&forestry or water surface aquaculture
1 Yes
2 No
33 m4b0tn: Total of Q5-section 4B0
34 m4b1a: Harvested any products from planting activities in past 12 month?
1 Yes
2 No
35 m4b1b: Was the damage caused by natural disaster, pest diseases,...?
1 Yes
2 No
36 m4b11t: Total of Q8 section 4B1.1
37 m4b12t: Total of Q7 section 4B1.2
38 m4b13t: Total of Q7 section 4B1.3
39 m4b14t: Total of Q7 section 4B1.4
40 tongthu_01 : Total of household revenue
41 tongthu_02 : Income from subsidies,scholarship
42 tongthu_03 : Income from health subsidies
43 tongthu_04 : Income from wage
44 tongthu_05 : Revenue from renting out agricultural and forestry land and water surface
45 tongthu_06 : Revenue from crop
46 tongthu_07 : Revenue from husbandry
47 tongthu_08 : Revenue from hunting, trapping and domestication
48 tongthu_09 : Revenue from agricultural services
49 tongthu_10 : Revenue from forestry

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50 tongthu_11 :51 tongthu_12 :52 tongthu_13 :53 tongthu_14 :54 m4b22t:
55 m4b21c:
56 m4b22c:
57 m4b31a:

58 m4b31b:

59 m4b3t
60 m4b3c
61 m4b41a:::

62 m4b41b:

63 m4b4t
64 m4b4c
65 chisxkd_1
66 chisxkd_2
67 chisxkd_3
68 chisxkd_4
69 chisxkd_5
70 chisxkd_6
71 chisxkd_7
72 chisxkd_8
73 thunhap
74 thubq
75 chikhac_1
76 chikhac_2
77 chikhac_3
78 chikhac_4
79 chikhac_5
80 chikhac_6
81 chikhac_7
82 chikhac_8
83 chikhac_9
waste
84 m4b5c1a
85 m4b5c1b

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86 m4b5t
87 m4b5c
88 m4c1

Revenue from aquaculture
Other income
Other revenues included in incomes
Revenues from renting out house(s) and residential land
Question 5 line 19
Total of quest 19 from line 1 to 10
Quest 19 line 11
Agricul. services in past 12 months?
1 Yes
2 No
Was the damage caused by natural disaster, pest diseases,...?
1 Yes
2 No
Total revenue from Agri Services
Total expense on Agri Services
Revenue from forestry activities?
1 Yes
2 No
Was the damage caused by natural disaster, pest diseases,...?
1 Yes
2 No
Total revenue from Forestry
Total expense on Forestry
Expenditure on business
Expenditure on crops
Expenditure on livestock
Expenditure on hunting, trapping..
Expenditure on agricultural services
Expenditure on forestry
Expenditure on aquaculture
Expenditure on non-farm businessTotal Income
income per capita per monthExpenditure on education
Expenditure on healthExpenditure on foods and drinks during holidays
Daily expenditure on foods and drinks
Daily expenditure on non-foodYearly Non-food expenditure
Other expenditure considered as consumption
Expenditures on durables over the past 12 month
Recurrent expenditures on housing, electricity, water,and daily life

: Aquatic activities in past 12 months?
: Was the damage caused by natural disaster, pest diseases,...?
1 Yes
2 No
: Total revenue from Aquaculture: Total expense on Aquaculture: Non-farm activities?

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89 m4ctt
90 m4ct
91 m4cct
92 m4cc
93 m4dtn
94 m5a1ct
95 m5a1c4
96 m5a1c5
97 m5a2ct
98 m5a2c6
99 m5a2c7
100 m5a2c8
101 m5b1ct
102 m5b1c6
103 m5b1c7
104 m5b1c8
105 m5b2ct
106 m5b2c4
107 m5b2c5
108 m5b3ct
109 m6c7
110 m3c1

111 m3ct1
112 m3ct2
113 m3ct3
114 m3ct
115 m3tn
116 m4b15t
117 m4b1t
118 m4b1c

1
2 Kh ｫ ng: Total revenue from non-farm: Total revenue belongs to household: Total expense on non-farm: Total expense on non-farm allocated for HH: Income from other sources: Total of Q4 and Q5 section 5A1: Total of Q2B section 5A1: Total of Q3B section 5A1: Total of Q2B from code 101 to 154 section 5A2: Total of 3B from code 101 to code 154 section 5A2: Total of 4B from code 101 to code 154 section 5A2: Total of 5B from code 101 to code 154 section 5A2: Total of Q2 section 5B1: Total of Q3 section 5B1: Total of Q4 section 5B1: Total of Q5 section 5B1: Total of Q4 and Q5 section 5B2: Total of Q2 section 5B2: Total of Q3 section 5B2: Total of Q2 section 5B3: Total of Q5 section 6: Has anyone in your HH visited medical establishment...
1 Yes
2 No
: Total of Q5 section 3: Total of Q6 section 3: Total of Q11 section 3: healthcare expenditures: Total of Q15 section 3: Total of Q5 section 4B1.5: Total revenues from crops: Total cost of crops### 38 : weight10 ###########
1 tinh: Tinh/Province
2 huyen: Huyen/District
3 xa: Xa/Commune
4 diaban: Dia ban/Cluster
5 wt9: Quyen so 9.000 ho/Weight of 9,000 HHs

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4.2 Summary of data files

The data files of VHLSS 2010 are summarized as the next.
No.

STATA

SectionMain contents

No. ofNo. ofvariables

records

53

9,399

Household

Demographics

18

36,999Individual

Section 1b: List of domestic

Servants and migrant labourers from the

17

1,221

Individual

helps

household34

36,999Individual

filenames1hhexpe10.dta

Summaryoflivingstandards used only for(Note: The definitions of many variables are

Unit of records

unclear.)office internal use
2

muc1a.dta

Section

1A:

List

of

household members
3

muc1b.dta

andmigrant

labourers(Note: The next sections do not apply to thepeople in this list.)

4

muc2.dta

Section 2: Education

Schoolattendance,

educational

degree,expenditure5

muc3a.dta

Section 3: Healthcare

Medical services

16

19,647

Individual6

muc3b.dta

Section 3: Healthcare

Health insurance card

15

36,999Individual7

muc4a.dta

Section 4: Income

Part 4A: Employment, salaries and wages

53

36,999Individual8

muc4b0.dta

Section 4: Income

Part 4B0: Farm land, forestry land and911,619Household,aquaculture water surface9

muc4b11.dta

Section 4: Income

Part 4B1.1: RiceLand piece
12

13,588Household,Type of rice10

muc4b12.dta

Section 4: Income

Part 4B1.2: Staple food crops, non-staple
food crops, and other annual crops

Vietnam VHLSS 2010 Manual (Version 1.0)

11

13,157

Household,
Kind of crops

53

11

muc4b13.dta

Section 4: Income

Part 4B1.3: Annual and perennial industrial

12

3,012

crops
12

muc4b14.dta

Section 4: Income

Household,
Kind of crops

Part 4B1.4: Fruit trees

12

7,207

Household,
Kind of fruit

13

muc4b15.dta

Section 4: Income

Part

4B1.5:

Revenues

fromharvested

10

6,638

by-products
14

muc4b16.dta

Section 4: Income

Part 4B1.6: Costs of cultivation

Household,
Kind of by-product13

47,482

Household,
Kind of expense15

muc4b17.dta

Section 4: Income

Part 4B1.7: Quantity of fertilizers used by the11

15,124household for plants
16

muc4b21.dta

Section 4: Income

Part 4B2.1: Revenues from husbandry,

Household,Type of fertilizer

10

12,967

hunting, trapping and domestication of birds

Household,
Kind of productand animals
17

muc4b22.dta

Section 4: Income

Part 4B2.2: Costs of husbandry, hunting,

29

8,111

trapping and domestication of birds andHousehold,
Kind of livestock breeding

animals18

muc4b31.dta

Section 4: Income

Part 4B3.1: Revenues from agricultural

9200

service activities
19

muc4b32.dta

Section 4: Income

Part 4B3.2: Costs of agricultural service

Kind of activities
27

199

activities
20

muc4b41.dta

Section 4: Income

Part 4B4.1: Forestry revenues

Household,Household,
Kind of activities

13

3,504

Household,
Kind of products/activities

21

muc4b42.dta

Section 4: Income

Part 4B4.2: Costs of forestry activities and

30

2,119

services22

muc4b51.dta

Section 4: Income

Part 4B5.1: Revenues from aquaculture

Household,
Kind of activities/services

10

2,671

Household,
Kind of productVietnam VHLSS 2010 Manual (Version 1.0)

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23

muc4b52.dta

Section 4: Income

Part 4B5.2: Costs of aquaculture-related

30

2,013

activities
24

muc4c1.dta

Section 4: Income

Household,
Kind of activities

Part 4C1: Revenues from production andbusiness,

non-agricultural,

forestryandaquaculture

services;

processing

of

23

4,007

Household,
Kind of sectoral activities

agricultural, forestry and aquatic products25

muc4c2.dta

Section 4: Income

Part 4C2: Costs of production and business,

32

4,007

non-agricultural, forestry and aquaculture

Household,
Kind of sectoral activities

services; processing of agricultural, forestry
and aquatic products26

muc4d.dta

Section 4: Income

Part 4D: Other revenues included in incomes

29

9,399

Household
Kind of sources27

muc5a1.dta

Section 5: Expenditure

Part 5A1: Expenditure on foods and drinks on

10

136,854

festive occasions
28

muc5a2.dta

Section 5: Expenditure

Part 5A2: Recurrent expenditures on foodExpenditure item
14

236,630and drinks (over the past 30 days)
29

muc5b1.dta

Section 5: Expenditure

Part 5B1: Expenditures on daily non-food

muc5b2.dta

Section 5: Expenditure

Part 5B2: Annual consumption on daily

10111,034

muc5b3.dta

Section 5: Expenditure

Part 5B3: Other costs as expenditures

Household,Expenditure item

8

119,120non-food items and other expenditures
31

Household,Expenditure item

items and other expenditures
30

Household,Household,Expenditure item

14

9,399

Household,Expenditure item

32

muc6.dta

Section 6: Durables

Possession of durables

42

9,399

Household
Durable codes33

muc6b.dta

Section 6: Durables

Purchase of durables

11

91,597

Household,
Durable codes

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34

muc7.dta

Section 7: Housing

30

9,399

Household35

muc8.dta

Section 8: Participation in

53

9,399

Household

12

1,367

Householdaid schemes36

muc8vayno.dt

Section 8: Participation inaaid schemes37

ttchung.dta

Summary

Summary of income and expenditure

118

9,399

Household38

weight10.dta

WeightWeight for income-expenditure sample

5

3,133

Enumeration area

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4.3 Weight data

The file “weight10.dta” is weight data by diaban (enumeration area). The number of record is 3,133,
the same as the number of unique diaban codes in data files. The variables are tinh (province), huyen(district), xa (commune), diaban (enumeration area) and wt9.

Remarks: In VHLSS 2006, weight data were given by xa (commune).
> d<-lss2010[[38]]# weight10> dim(d)[1] 31335> head(d)tinh huyen xa diaban

wt9

1

1

1

4

12 3977

2

1

1

7

22 4805

3

1

1 16

15 4140

4

1

1 22

19 4471

5

1

1 28

20 3820

6

1

1 34

25 3997> t<-sapply(d,range)> rownames(t)<-c("Min","Max")> ttinh huyen
1

xa diaban

wt9

4

369

Min

1

Max

96



Defined the variable of commune identifier “xaid” in weight10;

973 32248

1

91 7936> wt<-d # weight10> wt["xaid"]<-as.character(as.integer(wt$xa)+(10^5)*as.integer(wt$huyen)++ (10^8)*as.integer(wt$tinh))> head(wt)tinh huyen xa diaban wt9
1

1

1 4

xaid

12 3977 100100004

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2

1

1 7

22 4805 100100007

3

1

1 16

15 4140 100100016

4

1

1 22

19 4471 100100022

5

1

1 28

20 3820 100100028

6

1

1 34

25 3997 100100034> length(unique(wt$xaid))[1] 3132# There are one duplicated xaid.
> wt$xaid[duplicated(wt$xaid)==T][1] "5455722053"> wt[wt$xaid== "5455722053",]
tinh huyen

xa diaban wt9

xaid

1749

54

557 22053

5 1605 5455722053

1750

54

557 22053

26 1790 5455722053

Summary: xaid=5455722053 has two enumeration areas with different weights.
So, the EA identifier “eaid” should be defined.

> wt$eaid<-paste(wt$xaid,formatC(wt$diaban,width=2,flag="0"),sep="")> head(wt)tinh huyen xa diaban wt9

xaid

eaid

1

1

1 4

12 3977 100100004 10010000412

2

1

1 7

22 4805 100100007 10010000722

3

1

1 16

15 4140 100100016 10010001615

4

1

1 22

19 4471 100100022 10010002219

5

1

1 28

20 3820 100100028 10010002820

6

1

1 34

25 3997 100100034 10010003425> length(unique(wt$eaid))[1] 3133

Number of eaid within xaid

> eas<-tapply(wt$eaid,wt$xaid,length)> table(eas)
eas
1

2

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3131

1

4.4 Defining identifiers in data files and appending weight to data files
Three kind of identifier was generated as in the next table;

eaid for weight data file.



eaid and ID for household-level data files.



eaid, ID and PID for individual-level data files including the variable “matv” of member code.

Variable

Description

LengthType

Identifier
EA

tinh

province2

Numeric

huyen

district3

Numericxa

commune5

Numeric

diabanenumeration area

2

Numeric

hoso

household code2

Numeric

matv

member code2

Numeric

Household

eaid

ID

PersonPID

eaid = diaban + (10^2)*xa + (10^7)*huyen + (10^10)*tinh

ID = hoso + (10^2)*diaban + (10^4)*xa + (10^9)*huyen + (10^12)*tinh= hoso + (10^2)*eaid

PID = matv +(10^2) hoso + (10^4)*diaban + (10^6)*xa + (10^11)*huyen + (10^14)*tinh= matv +(10^2) *ID

Note: The above identifier were generated as character, because eaid is 12 digits.
> head(wt)tinh huyen xa diaban wt9

xaid

eaid

1

1

1 4

12 3977 100100004 10010000412

2

1

1 7

22 4805 100100007 10010000722

3

1

1 16

15 4140 100100016 10010001615

4

1

1 22

19 4471 100100022 10010002219

5

1

1 28

20 3820 100100028 10010002820

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6

1

1 34

25 3997 100100034 10010003425> wt.old<-wt> wt<-wt[,c(7,5)]> colnames(wt)<-c("eaid","wt")> head(wt)
eaid

wt

1 10010000412 3977
2 10010000722 4805
3 10010001615 4140
4 10010002219 4471
5 10010002820 3820
6 10010003425 3997
> dim(wt)[1] 3133

2

Remarks:
Although the length of commune code (xa) in VHLSS is 5 digits, it was 2 digits in VHLSS 2004 and2006.
According to the delegates from Vietnam, GSO has changed the administrative code since 2007. The
Household survey sample size is picked up from the Population Census in 2009. Because thePopulation Census 2009 followed new administrative code, therefore, the code in Household survey
2010 was changed. However, there was no change in sample design. In master sample, each
commune has three EAs and only one will be allocated for each year VHLSS.

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Generated the variables of identifier eaid and ID in all data files, and appended weight to alldata files.

> lss2010.old<-lss2010> for(j in 1:37){+ d<-lss2010[[j]]+ d$eaid<-paste(format(d$tinh,width=2, flag="0"),+ formatC(d$huyen,width=3,flag="0"),+ formatC(d$xa,width=5,flag="0",format="d"),+ formatC(d$diaban,width=2,flag="0"),sep="")+ d$ID<-paste("ID",d$eaid,format(d$hoso,width=2,flag="0"),sep="")+ d<-merge(d,wt,by="eaid",all.x=T)+ n<-ncol(d)+ d<-d[,c(2:n,1)]+ lss2010[[j]]<-d+ }> dim(lss2010[[1]])[1] 9399

56> length(unique(lss2010[[1]]$eaid))[1] 3133

Generated the individual identifier PID in individual-level data files including the variable of“matv”.

# Numbers of individual-level data files including the variable of “matv”> ind.files<-c(2,4:7)> for(j in ind.files){+ d<-lss2010[[j]]+ d$PID<-paste("P",d$ID,formatC(d$matv,width=2,flag="0"),sep="")+ lss2010[[j]]<-d+ }# Example of results

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61

> head(lss2010[[2]][,c(1:7,19:22)])
tinh huyen xa diaban hoso matv m1ac2

ID

wt

eaid

1

1

1 4

12

13

5

1 ID01001000041213 3977 010010000412

2

1

1 4

12

13

4

1 ID01001000041213 3977 010010000412

3

1

1 4

12

13

2

1 ID01001000041213 3977 010010000412

4

1

1 4

12

13

6

2 ID01001000041213 3977 010010000412

5

1

1 4

12

13

1

2 ID01001000041213 3977 010010000412

6

1

1 4

12

13

3

1 ID01001000041213 3977 010010000412

PID
1 PID0100100004121305
2 PID0100100004121304
3 PID0100100004121302
4 PID0100100004121306
5 PID0100100004121301
6 PID0100100004121303# Number of records and variables in data files> Rnames<-sub(".dta","",file.names)> for(j in 1:38){+ cat(format(Rnames[j],width=11),": ",format(nrow(lss2010[[j]]),width=6),",",+ format(ncol(lss2010[[j]]),width=3),"\n")+ }hhexpe10:9399 ,

56

muc1a

:

36999 ,

22

muc1b

:

1221 ,

20

muc2

:

36999 ,

38

muc3a

:

19647 ,

20

muc3b

:

36999 ,

19

muc4a

:

36999 ,

57

muc4b0:11619 ,

12

muc4b11:13588 ,

15

muc4b12:13157 ,

14

muc4b13:3012 ,

15

muc4b14:7207 ,

15

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muc4b15:6638 ,

13

muc4b16:47482 ,

16

muc4b17:15124 ,

14

muc4b21:12967 ,

13

muc4b22:8111 ,

32

muc4b31

:

200 ,

12

muc4b32

:

199 ,

30

muc4b41:3504 ,

16

muc4b42:2119 ,

33

muc4b51:

2671 ,

13

muc4b52:

2013 ,

33

muc4c1:4007 ,

26

muc4c2:4007 ,

35

muc4d

:

9399 ,

32

muc5a1:

136854 ,13

muc5a2:

236630 ,17

muc5b1:111034 ,13

muc5b2:119120 ,11

muc5b3:9399 ,

17

muc6

:

9399 ,

45

muc6b

:

91597 ,

14

muc7

:

9399 ,

33

muc8

:

9399 ,

56

muc8vayno:

1367 ,

15

ttchung:

9399 , 121

weight10:3133 ,

5

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4.5 Basic statistics

Item

Value

Un-weighted number

R scripts
9,399> d<-lss2010[[37]]Survey report# ttchung> nrow(d)of household[1] 9399

Weighted number of

22,278,084> sum(d$wt)[1] 22278084

householdUn-weighted number

36,999> sum(d$hhsize)[1] 36999

of household
members
Weighted number of

86,232,933> sum(d$hhsize*d$wt)[1] 86232933

household members
Household size

3.87

> sum(d$hhsize*d$wt)/sum(d$wt)

3.89 *(Table 1.1)

[1] 3.870752

1,267.3

Monthly total> d$exp<-rowSums(d[,c(75:77,80:83)])+

consumption per+ rowSums(d[,78:79])*12

capita (1000 VND)

> sum(d$exp*d$wt)/sum(d$tsnguoi*d$wt)/12

1,211 (Table 6.1)

# Yearly consumption[1] 1267.316

Monthly income per

1,557.0> sum(d$thunhap*d$wt)/sum(d$tsnguoi*d$wt)/12

1,387.1 *(Table 5.1)

[1] 1556.983

capita (1000 VND)

Remarks:
For Table 6.1 in Section 6, there is a note of “For income - consumption expenditure sample” in thesurvey report. It may imply that other figures such as household size and income in the survey report
are estimated from all samples of 45,945 households.
(Ref.)
75 chikhac_1
76 chikhac_2
77 chikhac_3
78 chikhac_4
79 chikhac_5
80 chikhac_6
81 chikhac_7
82 chikhac_8
83 chikhac_9
waste

:
:
:
:
:
:
:
:
:

Expenditure on education
Expenditure on healthExpenditure on foods and drinks during holidays
Daily expenditure on foods and drinks
Daily expenditure on non-foodYearly Non-food expenditure
Other expenditure considered as consumption
Expenditures on durables over the past 12 month
Recurrent expenditures on housing, electricity, water, and daily life

Vietnam VHLSS 2010 Manual (Version 1.0)

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4.6 Sample allocation


The number of province in data set is 63.

> d<-lss2010[[1]] # hhexpe10> length(unique(d$tinh))[1] 63# Number of sample household by province> table(d$tinh)
1

2

4

6

8

10

11

12

14

15

17

19

20

22

24

25

26

27

30

420 105 102 102 114 102 102 102 126 114 114 147 108 147 168 156 135 138 183
31

33

34

35

36

37

38

40

42

44

45

46

48

49

51

52

54

56

58

186 147 189 123 195 129 246 225 150 120 102 135 123 159 147 162 123 138 102
60

62

64

66

67

68

70

72

74

75

77

79

80

82

83

84

86

87

89

135 102 141 165 102 141 120 135 177 207 132 351 156 171 153 129 135 168 186
91

92

93

94

95

96

162 138 111 144 114 138



The variable of reg6 in hhexp10 represents six region codes. The next table shows the numberof sample household by province and region, which is consistent with the province code list at
page 4 of the questionnaire;# Relationship between provinces and six regions> table(d$tinh,d$reg6)
1 2
3
4
5
1 420 0
0
0
0
2
0 105
0
0
0
4
0 102
0
0
0
6
0 102
0
0
0
8
0 114
0
0
0
10
0 102
0
0
0
11
0 102
0
0
0
12
0 102
0
0
0
14
0 126
0
0
0
15
0 114
0
0
0
17
0 114
0
0
0
19
0 147
0
0
0
20
0 108
0
0
0
22 147 0
0
0
0
24
0 168
0
0
0
25
0 156
0
0
0
26 135 0000
27 138 0
0
0
0

6
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

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30 18331 18633 14734 18935 12336 19537 129
38
0
40
0
42
0
44
0
45
0
46
0
48
0
49
0
51
0
52
0
54
0
56
0
58
0
60
0
62
0
64
0
66
0
67
0
68
0
70
0
72
0
74
0
75
0
77
0
79
0
80
0
82
0
83
0
84
0
86
0
87
0
89
0
91
0
92
0
93
0
94
0
95
0
96
0

0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 246
0
0
0
0 225
0
0
0
0 150
0
0
0
0 120
0
0
0
0 102
0
0
0
0 135
0
0
0
0 123
0
0
0
0 159
0
0
0
0 147
0
0
0
0 162
0
0
0
0 123
0
0
0
0 138
0
0
0
0 102
0
0
0
0 135
0
0
0
0
0 102
0
0
0
0 141
0
0
0
0 165
0
0
0
0 102
0
0
0
0 141
0
0
0
0
0 120
0
0
0
0 135
0
0
0
0 177
0
0
0
0 207
0
0
0
0 132
0
0
0
0 351
0
0
0
0
0 156
0
0
0
0 171
0
0
0
0 153
0
0
0
0 129
0
0
0
0 135
0
0
0
0 168
0
0
0
0 186
0
0
0
0 162
0
0
0
0 138
0
0
0
0 111
0
0
0
0 144
0
0
0
0 114
0
0
0
0 138

> t<-table(d$reg6)> region.name<-c("Red River Delta","Midlands and Northern Mountains",+ "Northern and Coastal Central","Central Highlands",+ "Southeastern","Mekong Delta")> names(t)<-region.name

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> t
# Number of sample households by six regions
Red River Delta Midlands and Northern Mountains
1992

1662

Northern and Coastal Central

Central Highlands

2067

651

Southeastern

Mekong Delta

1122

1905

# Number of sample by region and urban/rural> t<-addmargins(table(d$reg6,d$urban10))> rownames(t)<-c(region.name,"Viet Nam")> colnames(t)<-c("Rural","Urban","Total")> t

Rural Urban Total
Red River Delta

1425

567

1992

Midlands and Northern Mountains

1329

333

1662

Northern and Coastal Central

1488

579

2067

Central Highlands

453

198

651

Southeastern

600

522

1122

Mekong Delta

1455

450

1905

Viet Nam

6750

2649

9399



According to the survey report, the survey collected information during four periods, eachperiod in one quarter from the second quarter to the fourth quarter in 2010 and one period in thefirst quarter of 2011.



However, the survey month in data file is spread from May to November.

> table(d$monthint)
67

343 277789

1030 2996 160

11

12

31 3062

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# Number of sample by region, urban/rural and survey month> t<-table(d$reg6,d$monthint,d$urban10)> dimnames(t)<-list(region.name,c(6:12), c("Rural","Urban"))> t, , Rural

6

7

8

9

10

11

12

Red River Delta

51 432

0 439

38

0 465

Midlands and Northern Mountains

20 425

5 423

24

7 425

Northern and Coastal Central

53 4393 501

1018 464

Central Highlands

19 134

0 151

2

4 143

Southeastern

29 169

3 163

36

0 200

Mekong Delta

100 379

7 477

9

0 483

8

9

10

11

, , Urban

6

7

12

Red River Delta

12 168

3 186

4

2 192

Midlands and Northern Mountains

6 101

1 105

3

0 117

Northern and Coastal Central

18 166

8 181

20

0 186

Central Highlands

6

0

63

0

0

Southeastern

12 162

0 166

11

0 171

Mekong Delta

17 136

0 141

3

0 153

66

63

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4.7 Sample design> d<-lss2010[[1]]# hhexpe10> nrow(d)[1] 9399> head(d[,c(1:5,12,14,15,54:56)])
tinh huyen xa diaban hoso urban10 reg6 monthint

ID

wt

eaid

1

1

1

4

12

13

1

1

9 ID1001000041213 3977 10010000412

2

1

1

4

12

14

1

1

9 ID1001000041214 3977 10010000412

3

1

1

4

12

15

1

1

9 ID1001000041215 3977 10010000412

4

1

1

7

22

13

1

1

7 ID1001000072213 4805 10010000722

5

1

1

7

22

15

1

1

7 ID1001000072215 4805 10010000722

6

1

1

7

22

20

1

1

7 ID1001000072220 4805 10010000722

The household code “hoso” is from 13 to 24.

> table(d$hoso)
13

20

21

24

2856 2847 2795 572 326

2

1



14

15

19

The household codes from 19 to 24 seems to be set for alternate households.

> head(d[d$hoso==24,c(1:5,12,14,15,54:56)])
tinh huyen
351

11

xa diaban hoso urban10 reg6 monthint

96 3163

12

24

0

2

ID wt

eaid

7 ID11096031631224 978 110960316312> head(d[d$eaid==110960316312,c(1:5,12,14,15,54:56)])
tinh huyen

xa diaban hoso urban10 reg6 monthint

ID wt

eaid

349

11

96 3163

12

13

0

2

7 ID11096031631213 978 110960316312

350

11

96 3163

12

14

0

2

7 ID11096031631214 978 110960316312

351

11

96 3163

12

24

0

2

7 ID11096031631224 978 110960316312> head(d[d$hoso==21,c(1:5,12,14,15,54:56)])
tinh huyen

xa diaban hoso urban10 reg6 monthint

ID

wt

eaid

3177

36

365 14200

13

21

0

1

9 ID36365142001321 2879 363651420013

4515

48

495 20260

18

21

1

3

9 ID48495202601821 1896 484952026018

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> head(d[d$eaid==363651420013,c(1:5,12,14,15,54:56)])
tinh huyen

xa diaban hoso urban10 reg6 monthint

ID

wt

eaid

3175

36

365 14200

13

14

0

1

9 ID36365142001314 2879 363651420013

3176

36

365 14200

13

20

0

1

9 ID36365142001320 2879 363651420013

3177

36

365 14200

13

21

0

1

9 ID36365142001321 2879 363651420013> head(d[d$hoso==19,c(1:5,12,14,15,54:56)])
tinh huyen xa diaban hoso urban10 reg6 monthint

ID

wt

eaid

8

1

1 16

15

19

1

1

9 ID1001000161519 4140 10010001615

12

1

1 22

19

19

1

1

12 ID1001000221919 4471 10010002219

15

1

1 28

20

19

1

1

7 ID1001000282019 3820 10010002820

26

1

2 67

23

19

1

1

9 ID1002000672319 3992 10020006723

30

1

2 79

11

19

1

1

12 ID1002000791119 4137 10020007911

51

1

4 139

50

19

1

1

7 ID1004001395019 3965 10040013950> head(d[d$eaid==10010001615,c(1:5,12,14,15,54:56)])
tinh huyen xa diaban hoso urban10 reg6 monthint

ID

wt

eaid

7

1

1 16

15

14

1

1

9 ID1001000161514 4140 10010001615

8

1

1 16

15

19

1

1

9 ID1001000161519 4140 10010001615

9

1

1 16

15

20

1

1

9 ID1001000161520 4140 10010001615



In each enumeration area, three sample households for income-expenditure survey were
responded. Non-response was not found. It was the responsibility of Provincial Statistics Office
to find alternate households to be assured of 3 households for income-expenditure survey ineach enumeration area.

# hhs: Number of sample households within eaid is always equal to three.
> hhs<-tapply(d$ID,d$eaid,length)> dim(hhs)[1] 3133# Frequency of hhs> table(hhs)hhs
3

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3133



The number of unique value of weight is 1,523.

> length(unique(d$wt))[1] 1523



The weight is unique within the enumeration area.

> wts<-tapply(d$wt,d$eaid,function(x) length(unique(x)))> table(wts)
wts
1
3133

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5. Data Check

5.1 Structure of each data file
# Displayed the names and types of variables

Note: ID, PID, aeid, wt are excluded in the followings.

> Rnames<-sub(".dta","",file.names)> for(j in 1:38){+ cat("##",j,"#### ",Rnames[j]," ##########\n")+ print(str(lss2010[[j]]))+ cat("\n\n")+ }## 1 #### hhexpe10 ##########'data.frame':
9399 obs. of 53 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen: int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 7 7 7 16 16 16 22 ...
$ diaban: int 12 12 12 22 22 22 15 15 15 19 ...
$ hoso: int 13 14 15 13 15 20 14 19 20 13 ...
$ compfoodnom: num 58468 24629 40370 47132 76362 ...
$ compricenom: num 4675 2390 4004 4239 3749 ...
$ compnonricenom: num 53793 22240 36365 42893 72613 ...
$ bestfoodnom: num 61475 26821 39977 46945 76065 ...
$ bestricenom: num 4691 2398 4018 4253 3760 ...
$ bestnonricenom: num 56784 24424 35959 42692 72305 ...
$ urban10: int 1 1 1 1 1 1 1 1 1 1 ...
$ reg8: num 1 1 1 1 1 1 1 1 1 1 ...
$ reg6: num 1 1 1 1 1 1 1 1 1 1 ...
$ monthint: int 9 9 9 7 7 7 9 9 9 12 ...
$ hhsize: num 6 2 4 4 4 5 2 3 4 5 ...
$ wt9: int 3977 3977 3977 4805 4805 4805 4140 4140 4140 4471 ...
$ hhszwt: num 23862 7954 15908 19220 19220 ...
$ defltemrice: num 0.987 0.987 0.987 0.955 0.955 ...
$ defltemnonricefood: num 1.06 1.06 1.06 1.06 1.06 ...
$ defltemnonfood: num 1.04 1.04 1.04 1.03 1.03 ...
$ deflGSOspatialfood: num 1.11 1.11 1.11 1.11 1.11 ...
$ deflGSOspatialnonfood: num 1.09 1.09 1.09 1.09 1.09 ...
$ deflSCOLI: num 1.26 1.26 1.26 1.26 1.26 ...
$ compfoodrl: num 49716 20970 34377 40437 65230 ...
$ compfoodpcrl: num 8286 10485 8594 10109 16307 ...
$ bestfoodrl: num 45989 20085 29962 35447 57184 ...
$ bestfoodpcrl: num 7665 10042 7490 8862 14296 ...
$ compnonfoodnom: num 165583 72410 79184 82309 136474 ...
$ compnonfoodrl: num 146445 64041 70032 73501 121871 ...
$ compnonfoodpcrl: num 24407 32020 17508 18375 30468 ...
$ comphhnom: num 224051 97039 119554 129441 212836 ...
$ comphhrl: num 196161 85010 104409 113938 187101 ...

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$ comppcnom: num 37342 48520 29889 32360 53209 ...
$ comppcrl: num 32693 42505 26102 28485 46775 ...
$ bestnonfoodnom: num 238224 637699 223852 196941 361445 ...
$ bestnonfoodrl: num 180850 484116 169940 150960 277056 ...
$ bestnonfoodpcrl: num 30142 242058 42485 37740 69264 ...
$ besthhnom: num 299699 664520 263829 243886 437511 ...
$ besthhrl: num 226839 504201 199902 186407 334240 ...
$ bestpcnom: num 49950 332260 65957 60972 109378 ...
$ bestpcrl: num 37807 252100 49975 46602 83560 ...
$ bestrlpopquint: num 5 5 5 5 5 5 5 5 5 5 ...
$ bestrlpopquinturb: int 5 5 5 5 5 5 5 5 5 5 ...
$ bestrlpopquintrur: int NA NA NA NA NA NA NA NA NA NA ...
$ bestfoodpcnom: num 10246 13411 9994 11736 19016 ...
$ compfoodpcnom: num 9745 12315 10092 11783 19090 ...
$ compricepcnom: num 779 1195 1001 1060 937 ...
$ bestricepcnom: num 782 1199 1004 1063 940 ...
$ compnonricepcnom: num 8965 11120 9091 10723 18153 ...
$ bestnonricepcnom: num 9464 12212 8990 10673 18076 ...
$ compnonfoodpcnom: num 27597 36205 19796 20577 34119 ...
$ bestnonfoodpcnom: num 39704 318849 55963 49235 90361 ...
- attr(*, "datalabel")= chr "Household expenditures: 2010 VHLSS"- attr(*, "time.stamp")= chr "30 Aug 2012 11:34"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 255 255 255 255 255 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "" "" "" "" ...
- attr(*, "expansion.fields")=List of 2..$ : chr "_dta" "__xi__Vars__To__Drop__" "_Idwater_2 _Idwater_3 _Idwater_4 _Idwater_5_Idwater_6 _Idwater_7 _Idwater_8 _Idwater_9 _Idwater_10 _Itoilet_2 _Itoilet_3 _Itoi"|__truncated__..$ : chr "_dta" "__xi__Vars__Prefix__" "_I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I_I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I _I"- attr(*, "version")= int 12- attr(*, "label.table")=List of 3..$ region8Paul: Named int 1 2 3 4 5 6 7 8.. ..- attr(*, "names")= chr "Red River Delta" "East Northern Mtns" "West Northern Mtns" "North
Central Coast" ...
..$ region6: Named int 1 2 3 4 5 6.. ..- attr(*, "names")= chr "Red River Delta" "Midlands and Northern Mountains" "Northern andCoastal Central" "Central Highlands" ...
..$ urban: Named int 0 1.. ..- attr(*, "names")= chr "Rural" "Urban"
NULL## 2 #### muc1a ##########'data.frame':
36999 obs. of 18 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 4 4 4 4 4 4 4 ...
$ diaban : int 12 12 12 12 12 12 12 12 12 12 ...
$ hoso : int 13 13 13 13 13 13 14 14 15 15 ...
$ matv : int 5 4 2 6 1 3 1 2 3 1 ...
$ m1ac2 : int 1 1 1 2 2 1 1 2 2 1 ...
$ m1ac3 : int 6 3 3 6 1 3 1 2 3 1 ...
$ m1ac4a : int 10 10 2 9 5 9 6 6 1 12 ...

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$ m1ac4b : int 2005 1970 1983 2007 1950 1970 1949 1953 1982 1940 ...
$ m1ac5 : int 4 39 27 3 60 40 61 57 28 69 ...
$ m1ac6 : int NA 2 1 NA 3 2 2 2 1 2 ...
$ m1ac7 : int 12 12 12 12 12 12 12 12 12 12 ...
$ m1ac8 : int NA NA NA NA NA NA NA NA NA NA ...
$ m1ac9 : int 1 1 1 1 1 1 1 1 1 1 ...
$ m1ac10 : int NA NA NA NA NA NA NA NA NA NA ...
$ m1ac11n: int NA NA NA NA NA NA NA NA NA NA ...
$ m1ac11t: int NA NA NA NA NA NA NA NA NA NA ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:32"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 251 251 251 252 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 6..$ M1AC10: Named int 4 6 8 17 22 40 42 54 56 58 ...
.. ..- attr(*, "names")= chr "***Undefined Label" "***Undefined Label" "***Undefined Label""***Undefined Label" ...
..$ m1ac2 : Named int 1 2.. ..- attr(*, "names")= chr "Male" "Female"..$ m1ac3 : Named int 1 2 3 4 5 6 7.. ..- attr(*, "names")= chr "Household head" "Wife/husband" "Child" "Father/mother" ...
..$ m1ac6 : Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "Single" "Married" "Widowed" "Divorced" ...
..$ m1ac8 : Named int 1 2 3 4 5 6.. ..- attr(*, "names")= chr "Student studies in the country" "Cadre studies in the country""Medical treament in the country/overseas" "Newborn, new comer" ...
..$ m1ac9 : Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "At this dwelling within com./ward" "Other place within thisprovince" "Another province" "Others" ...
NULL## 3 #### muc1b ##########'data.frame':
1221 obs. of 17 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 4 5 8 8 8 8 9 16 19 19 ...
$ xa: num 124 157 313 313 328 337 349 448 592 592 ...
$ diaban : int 39 22 37 37 14 29 7 4 6 6 ...
$ hoso : int 15 14 20 20 14 15 15 15 19 19 ...
$ m1bma : int 31 31 31 32 31 31 31 31 31 32 ...
$ m1bc3 : int 2 2 2 2 2 2 2 1 1 2 ...
$ m1bc4 : int 1 1 1 1 1 1 1 2 2 2 ...
$ m1bc5 : int 58 40 17 21 48 38 39 25 33 31 ...
$ m1bc6 : int 2 2 1 1 2 2 2 2 2 2 ...
$ m1bc7a : int 1 3 2 2 1 2 3 3 9 3 ...
$ m1bc7b : int 0 0 0 0 0 0 0 0 0 0 ...
$ m1bc8 : int 12 9 12 1 11 12 12 5 5 5 ...
$ m1bc9 : int 2 3 3 3 2 3 3 1 1 1 ...
$ m1bc10 : int NA 19 36 36 NA 38 38 NA NA NA ...
$ m1bc11n: int NA 39 3 0 NA 2 0 NA NA NA ...
$ m1bc11t: int NA 3 0 1 NA 0 10 NA NA NA ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:33"

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- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 251 251 252 251 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 7..$ M1BC10: Named int 4 6 8 17 22 40 42 54 56 58 ...
.. ..- attr(*, "names")= chr "***Undefined Label" "***Undefined Label" "***Undefined Label""***Undefined Label" ...
..$ m1bc3 : Named int 1 2.. ..- attr(*, "names")= chr "Male" "Female"..$ m1bc4 : Named int 1 2.. ..- attr(*, "names")= chr "Sevant" "Home worker"..$ m1bc6 : Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "Never married" "Married" "Widowed" "Devorced" ...
..$ m1bc7a: Named int 0 1 2 3 8 9 10 11 12.. ..- attr(*, "names")= chr "No degree" "Primary school" "Lower secondary school" "Upper
secondary school" ...
..$ m1bc7b: Named int 0 4 5 6 7.. ..- attr(*, "names")= chr "No degree" "Short-term technical worker" "Long-term technicalworker" "Professional secondary shool" ...
..$ m1bc9 : Named int 1 2 3 4.. ..- attr(*, "names")= chr "At this dwelling within com./ward" "Other place within thisprovince" "Another province" "Others"
NULL## 4 #### muc2 ##########'data.frame':
36999 obs. of 34 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: int 4 4 4 4 4 4 4 4 4 4 ...
$ diaban: int 12 12 12 12 12 12 12 12 12 12 ...
$ hoso : int 13 13 13 13 13 13 14 14 15 15 ...
$ matv : int 1 2 3 4 5 6 1 2 1 2 ...
$ m2c1 : chr "8" "12" "10" "9" ...
$ m2c2a : int 1 3 2 2 0 0 9 9 9 9 ...
$ m2c2b : int 4 4 4 4 0 0 0 0 0 0 ...
$ m2c3 : int 1 1 1 1 3 3 1 1 1 1 ...
$ m2c4 : int 3 3 3 3 1 1 3 3 3 3 ...
$ m2c5 : int 2 2 2 2 NA NA 2 2 2 2 ...
$ m2c6 : int NA NA NA NA 0 0 NA NA NA NA ...
$ m2c7 : int NA NA NA NA NA NA NA NA NA NA ...
$ m2c8 : int NA NA NA NA 3 3 NA NA NA NA ...
$ m2c9 : int NA NA NA NA 2 2 NA NA NA NA ...
$ m2c10a: int NA NA NA NA NA NA NA NA NA NA ...
$ m2c10b: int NA NA NA NA NA NA NA NA NA NA ...
$ m2c11a: int NA NA NA NA 13000 10600 NA NA NA NA ...
$ m2c11b: int NA NA NA NA 0 0 NA NA NA NA ...
$ m2c11c: int NA NA NA NA 0 1000 NA NA NA NA ...
$ m2c11d: int NA NA NA NA 0 200 NA NA NA NA ...
$ m2c11e: int NA NA NA NA 0 0 NA NA NA NA ...
$ m2c11f: int NA NA NA NA 0 0 NA NA NA NA ...
$ m2c11g: int NA NA NA NA 0 0 NA NA NA NA ...
$ m2c11h: int NA NA NA NA 0 0 NA NA NA NA ...
$ m2c11i: int NA NA NA NA 0 0 NA NA NA NA ...

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$ m2c11k: int NA NA NA NA 13000 11800 NA NA NA NA ...
$ m2c12 : int NA NA NA NA 0 0 NA NA NA NA ...
$ m2c13 : int NA NA NA NA 0 0 NA NA NA NA ...
$ m2c14 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m2c15a: int NA NA NA NA 1 1 NA NA NA NA ...
$ m2c15b: int NA NA NA NA 2 2 NA NA NA NA ...
$ m2c16 : int 10 NA NA NA NA NA NA NA NA NA ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:27"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 251 252 252 251 251 251 2 251 251 251 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 25..$ M2AC11A: Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC11B: Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC11C: Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC11D: Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC11E: Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC11F: Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC11G: Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC11H: Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC11I: Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC11K: Named int 0.. ..- attr(*, "names")= chr "0"..$ m2ac9 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m2ac10a: Named int 1 2 3 4 5 6 7 8 9.. ..- attr(*, "names")= chr "Poor households" "Ethnic minorities" "Households of fallen
combatants" "War invalids, sick soldiers, or with revolutionary merits" ...
..$ m2ac10b: Named int 1 2 3 4 5 6 7 8 9.. ..- attr(*, "names")= chr "Poor households" "Ethnic minorities" "Households of fallen
combatants" "War invalids, sick soldiers, or with revolutionary merits" ...
..$ M2AC14 : Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC13 : Named int 0.. ..- attr(*, "names")= chr "0"..$ M2AC12 : Named int 0.. ..- attr(*, "names")= chr "0"..$ m2ac15a: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m2ac15b: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m2ac8 : Named int 1 2 3 4.. ..- attr(*, "names")= chr "Public" "Community-established" "Private" "Others"..$ m2ac6 : Named int 0 1 2 3 4 5 6 7 8 9 ...

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76.. ..- attr(*, "names")= chr "Nursery, kindergarten" "Primary" "Lower secondary" "Higher
secondary" ...
..$ m2ac5 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m2ac4 : Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "On summer vacation" "No"..$ m2ac3 : Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "Public" "Semi-public" "Community-established" "Private" ...
..$ m2ac2b : Named int 0 1 2 3 4 5 6 7 8 9 ...
.. ..- attr(*, "names")= chr "No qualification" "Primary" "Lower secondary" "Higher
secondary" ...
..$ m2ac2a : Named int 0 1 2 3 4 5 6 7 8 9 ...
.. ..- attr(*, "names")= chr "No qualification" "Primary" "Lower secondary" "Higher
secondary" ...
NULL## 5 #### muc3a ##########'data.frame':
19647 obs. of 16 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 4 4 4 4 7 7 7 ...
$ diaban: int 12 12 12 12 12 12 12 22 22 22 ...
$ hoso : int 13 13 13 14 14 15 15 15 20 20 ...
$ matv : int 5 1 6 1 2 2 1 3 2 5 ...
$ m3c2 : chr "hi ﾕ u" "an" "ki ｪ n" "th ｵ nh" ...
$ m3c3a : int 1 1 1 1 1 1 1 1 1 1 ...
$ m3c3b : int 3 5 3 6 6 6 6 5 5 5 ...
$ m3c4 : int 3 3 3 3 3 3 3 3 3 4 ...
$ m3c5a : int 2 1 3 1 1 1 1 1 1 3 ...
$ m3c5b : int 500 100 700 0 0 100 50 150 150 500 ...
$ m3c6a : int 0 0 0 0 0 0 0 0 0 0 ...
$ m3c6b : int NA NA NA NA NA NA NA NA NA NA ...
$ m3c7 : int 1 1 1 1 1 1 1 1 1 1 ...
$ m3c8 : int NA NA NA NA NA NA NA NA NA NA ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 8 251 251 251 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 8..$ m3c7 : Named int 1 2 3.. ..- attr(*, "names")= chr "Yes, it did" "It had some but not enough" "No"..$ m3c4 : Named int 1 2 3 4.. ..- attr(*, "names")= chr "Vaccination" "Pregnancy checks, insertion of intrauterine devices,
abortion, birth delivery" "Health checks and consultancy" "Medical treatment"..$ m3c3b: Named int 1 2 3 4 5 6 7 8 9 10 ...
.. ..- attr(*, "names")= chr "Village/hamlet clinics" "Commune/ward clinics" "Regional generalclinics." "Urban/rural district hospitals" ...
..$ M3C8 : Named int 0.. ..- attr(*, "names")= chr "0"..$ M3C6B: Named int 0.. ..- attr(*, "names")= chr "0"..$ M3C6A: Named int 0

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77.. ..- attr(*, "names")= chr "0"..$ M3C5B: Named int 0.. ..- attr(*, "names")= chr "0"..$ M3C5A: Named int 0.. ..- attr(*, "names")= chr "0"
NULL## 6 #### muc3b ##########'data.frame':
36999 obs. of 15 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 4 4 4 4 4 4 4 ...
$ diaban: int 12 12 12 12 12 12 12 12 12 12 ...
$ hoso : int 13 13 13 13 13 13 14 14 15 15 ...
$ matv : int 1 2 3 4 5 6 1 2 1 2 ...
$ m3c9 : int 1 2 1 2 1 1 1 1 1 1 ...
$ m3c10a: int 7 NA 6 NA 1 1 6 7 7 7 ...
$ m3c10b: int 0 NA 0 NA 0 0 0 0 0 0 ...
$ m3c11 : int NA NA NA NA NA NA NA NA NA NA ...
$ m3c12a: int 1 NA 2 NA 2 2 1 1 1 1 ...
$ m3c12b: int 2 NA 2 NA 2 2 2 2 2 2 ...
$ m3c13 : int 100 NA NA NA NA NA 100 NA 200 NA ...
$ m3c14 : int 10 NA NA NA NA NA 0 NA 100 NA ...
$ m3c15 : int 0 NA NA NA NA NA 0 NA 0 NA ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 251 251 251 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 8..$ m3c12b: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m3c12a: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m3c10 : Named int 1 2 3 4 5 6 7 8 9 10.. ..- attr(*, "names")= chr "Booklet/card for children aged 6 or less" "Health insurance cardfor the poor" "Health insurance card for the near-poor" "Free healthcare
booklet/card/certificate" ...
..$ m3c9 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ M3C11 : Named int 0.. ..- attr(*, "names")= chr "0"..$ M3C13 : Named int 0.. ..- attr(*, "names")= chr "0"..$ M3C14 : Named int 0.. ..- attr(*, "names")= chr "0"..$ M3C15 : Named int 0.. ..- attr(*, "names")= chr "0"
NULL## 7 #### muc4a ##########'data.frame':
36999 obs. of

53 variables:

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$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 4 4 4 4 4 4 4 ...
$ diaban : int 12 12 12 12 12 12 12 12 12 12 ...
$ hoso : int 13 13 13 13 13 13 14 14 15 15 ...
$ matv : int 1 2 3 4 5 6 1 2 1 2 ...
$ m4ac1a : int 2 1 1 2 NA NA 1 1 1 1 ...
$ m4ac1b : int 2 2 2 2 NA NA 2 2 2 2 ...
$ m4ac1c : int 2 2 2 1 NA NA 2 2 2 2 ...
$ m4ac2 : int 2 1 1 1 NA NA 1 1 1 1 ...
$ m4ac3a : int NA 340 312 340 NA NA 144 144 312 264 ...
$ m4ac3m : chr "" "l ｸ i xe" "l ｸ i xe" "b ｸ n t ｹ p ho ｸ" ...
$ m4ac3 : int NA 83 83 52 NA NA 26 23 22 23 ...
$ m4ac4c : chr "" "cty cp thaqnh nga" "cty vina th ｵ nh c ｫ ng" "c  h ｵ ng s ｬ n thu\xfb" ...
$ m4ac4m : chr "" "v ﾋ n chuy ﾓ n" "kd nh ｵ" "b ｸ n b ｸ nh k ﾑ o" ...
$ m4ac4 : int NA 49 68 47 NA NA 79 85 86 85 ...
$ m4ac5 : int NA 1 1 1 NA NA 1 1 1 1 ...
$ m4ac6 : int NA 28 26 28 NA NA 12 12 26 22 ...
$ m4ac7 : int NA 8 8 10 NA NA 8 8 8 4 ...
$ m4ac8a : int NA 4 5 2 NA NA 5 4 4 1 ...
$ m4ac8b : int NA NA 1 NA NA NA 2 NA NA NA ...
$ m4ac9 : int NA 1 1 2 NA NA 1 1 1 1 ...
$ m4ac10 : int NA 2835 3308 NA NA NA 6661 6661 4283 1903 ...
$ m4ac11 : int NA 34023 39693 NA NA NA 79935 79935 51393 22841 ...
$ m4ac12a: int NA 945 1890 NA NA NA 952 1903 1903 952 ...
$ m4ac12b: int NA 945 945 NA NA NA 0 0 952 0 ...
$ m4ac13a: int NA 1 1 NA NA NA 1 1 1 2 ...
$ m4ac13b: int NA 1 1 NA NA NA 2 2 1 2 ...
$ m4ac13c: int NA 1 1 NA NA NA 2 2 2 2 ...
$ m4ac14 : int NA 2 2 2 NA NA 2 2 2 2 ...
$ m4ac15a: int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac15m: chr "" "" "" "" ...
$ m4ac15 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac16c: chr "" "" "" "" ...
$ m4ac16m: chr "" "" "" "" ...
$ m4ac16 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac17 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac18 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac19 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac20 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac21 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac22 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac23 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac24a: int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac24b: int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac25 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac26 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4ac27 : int 2 2 2 2 NA NA 1 1 1 1 ...
$ m4ac28a: int NA NA NA NA NA NA 0 0 0 0 ...
$ m4ac28b: int NA NA NA NA NA NA 0 0 0 0 ...
$ m4ac28c: int NA NA NA NA NA NA 34258 29690 75377 29694 ...
$ m4ac28d: int NA NA NA NA NA NA 0 0 0 0 ...
$ m4ac28e: int NA NA NA NA NA NA 0 0 0 0 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:37"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...

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- attr(*, "types")= int 252 252 254 252 252 251 251 251 251 251 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 19..$ m4ac27 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac20 : Named int 1 2 3 4 5 6.. ..- attr(*, "names")= chr "Farming, forestry, aquaculture households / individuals""Independent production and business households" "Collective" "Private" ...
..$ m4ac21 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac25 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac14 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac16 : Named int 35 110 140 160.. ..- attr(*, "names")= chr "Production and distribution of electricity, gas, hot water, steam
and air conditioners" "Agriculture and related services: crop production" "Agriculture and related
services: husbandry" "Agriculture and related services: agricultural services"..$ m4ac17 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac8a : Named int 1 2 3 4 5 6.. ..- attr(*, "names")= chr "Farming, forestry, aquaculture households / individuals""Independent production and business households" "Collective" "Private" ...
..$ m4ac8b : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac9 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac13a: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac13b: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac13c: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac1a : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac1b : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac1c : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac2 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4ac4 : Named int 35 110 140 160.. ..- attr(*, "names")= chr "Production and distribution of electricity, gas, hot water, steam
and air conditioners" "Agriculture and related services: crop production" "Agriculture and related
services: husbandry" "Agriculture and related services: agricultural services"..$ m4ac5 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"NULL## 8 #### muc4b0 ##########'data.frame':
11619 obs. of 9 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 3 4 4 16 16 16 16 16 16 16 ...

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$ xa
: num 91 148 148 382 382 382 382 382 397 397 ...
$ diaban: int 6 6 6 10 10 10 10 10 2 2 ...
$ hoso : int 13 14 15 13 13 14 15 15 13 14 ...
$ m4b0ma: int 1 1 1 1 5 1 1 5 5 5 ...
$ m4b0c3: int 800 2160 1800 2520 200 480 1800 30 720 4500 ...
$ m4b0c4: num 0 0 0 0 0 0 0 0 0 0 ...
$ m4b0c5: num 0 0 0 0 0 0 0 0 0 0 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 254 254- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b0ma: Named int 1 2 3 4 5 6 7 8.. ..- attr(*, "names")= chr "Annual crop land" "Perennial crop land" "Forestry land" "Water
surface" ...
NULL## 9 #### muc4b11 ##########'data.frame':
13588 obs. of 12 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 4 4 4 4 4 4 16 16 16 16 ...
$ xa: num 148 148 148 148 148 148 382 382 382 382 ...
$ diaban : int 6 6 6 6 6 6 10 10 10 10 ...
$ hoso : int 14 14 14 15 15 15 13 13 13 13 ...
$ m4b11ma: int 1 5 3 1 5 3 3 5 1 6 ...
$ m4b11c3: int 2160 4320 2160 720 1440 720 2520 3960 1440 192 ...
$ m4b11c4: int 1100 2100 1000 300 550 250 1120 1752 632 73 ...
$ m4b11c5: int 0 0 0 0 0 0 9 15 6 1 ...
$ m4b11c6: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b11c7: int NA NA NA NA NA NA NA NA NA NA ...
$ m4b11c8: int 6238 11909 5671 1528 2801 1273 5292 8338 3046 483 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b11ma: Named int 1 2 3 4 5 6 7.. ..- attr(*, "names")= chr "Winter-spring ordinary rice" "Summer-autumn ordinary rice""Ten-month or autumn-winter rice" "Ordinary rice planted in terraced field" ...
NULL## 10 #### muc4b12 ##########'data.frame':
13157 obs. of 11 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 3 4 4 4 4 16 16 16 16 16 ...
$ xa: num 91 148 148 148 148 382 382 382 382 382 ...
$ diaban : int 6 6 6 6 6 10 10 10 10 10 ...
$ hoso : int 13 15 15 15 15 13 13 13 13 13 ...

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$ m4b12ma: int 21 14 8 16 13 13 21 15 20 14 ...
$ m4b12c3: int 780 30 360 220 200 12 580 20 360 20 ...
$ m4b12c4: int NA 1200 160 2500 2700 31 NA 44 NA 42 ...
$ m4b12c5: int NA 1200 160 2500 2600 0 NA 0 NA 0 ...
$ m4b12c6: int 45369 5093 662 6367 8913 NA 5670 NA 3591 NA ...
$ m4b12c7: int 45369 5093 662 6367 8913 59 6078 166 3884 238 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b12ma: Named int 8 9 10 11 12 13 14 15 16 17 ...
.. ..- attr(*, "names")= chr "Maize (corn)" "Sweet potato" "Cassava/manioc" "Other staple foodcrops" ...
NULL## 11 #### muc4b13 ##########'data.frame':3012 obs. of 12 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 4 16 16 16 16 16 16 16 16 19 ...
$ xa: num 148 382 406 406 406 418 433 448 448 598 ...
$ diaban : int 6 10 19 19 19 21 3 4 4 7 ...
$ hoso: int 15 13 13 14 15 15 19 14 15 13 ...
$ m4b13ma : int 22 23 23 23 23 23 22 30 30 22 ...
$ m4b13c3a: int 360 360 360 360 360 144 360 648 540 360 ...
$ m4b13c3b: int 1 1 1 1 1 1 1 1 1 1 ...
$ m4b13c4 : int 60 48 80 31 50 40 20 NA NA 35 ...
$ m4b13c5 : int 60 0 60 0 0 0 0 NA NA 30 ...
$ m4b13c6 : int 662 NA 379 NA NA NA NA 26403 12759 567 ...
$ m4b13c7 : int 662 680 506 420 361 686 271 26403 12759 662 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 251 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 2..$ m4b13c3b: Named int 1 2.. ..- attr(*, "names")= chr "M2" "Tree"..$ m4b13ma : Named int 22 23 24 25 26 27 28 29 30 31 ...
.. ..- attr(*, "names")= chr "Soya bean/soybean" "Peanut/groundnut" "Sesame" "Sugarcane" ...
NULL## 12 #### muc4b14 ##########'data.frame':
7207 obs. of 12 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 16 16 16 16 16 16 16 16 16 16 ...
$ xa: num 382 382 382 397 397 397 397 397 406 406 ...
$ diaban : int 10 10 10 2 2 2 2 2 19 19 ...
$ hoso: int 13 15 15 13 13 14 19 19 15 15 ...

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$ m4b14ma : int 47 49 42 47 49 47 47 42 42 41 ...
$ m4b14c3a: int 2 5 2 28 20 14 25 3 1 5 ...
$ m4b14c3b: int 2 2 2 2 2 2 2 2 2 2 ...
$ m4b14c4 : int 26 20 10 420 100 300 340 130 5 75 ...
$ m4b14c5 : int 0 10 0 300 0 300 300 100 0 0 ...
$ m4b14c6 : int NA 45 NA 1701 NA 2269 1418 473 NA NA ...
$ m4b14c7 : int 369 90 45 2381 1418 2269 1607 614 36 203 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 251 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 2..$ m4b14c3b: Named int 1 2.. ..- attr(*, "names")= chr "M2" "Tree"..$ m4b14ma : Named int 39 40 41 42 43 44 45 46 47 48 ...
.. ..- attr(*, "names")= chr "Citrus" "Pineapple" "Banana" "Mango, horse mango" ...
NULL## 13 #### muc4b15 ##########'data.frame':
6638 obs. of 10 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 16 16 16 16 16 16 16 16 16 16 ...
$ xa: num 382 382 382 406 406 406 406 418 433 433 ...
$ diaban : int 10 10 10 19 19 19 19 21 3 3 ...
$ hoso : int 13 13 15 14 14 15 15 15 14 19 ...
$ m4b15ma: int 1 3 1 1 3 3 1 1 1 1 ...
$ m4b15c2: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b15c3: int 312 38 41 0 0 0 60 163 433 325 ...
$ m4b15c4: int 0 0 95 190 54 18 238 0 0 0 ...
$ m4b15c5: int 312 38 136 190 54 18 298 163 433 325 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b15ma: Named int 1 2 3 4 5 6 7 8 9.. ..- attr(*, "names")= chr "Straw, thatch" "Sweet potato leaves and stems" "Cassava and maize
stems" "Stems of beans of all kinds" ...
NULL## 14 #### muc4b16 ##########'data.frame':
47482 obs. of 13 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen: int 3 3 3 3 3 3 3 3 3 3 ...
$ xa: num 91 91 91 91 91 91 91 91 91 91 ...
$ diaban : int 6 6 6 6 6 6 6 6 6 6 ...
$ hoso: int 13 13 13 13 13 13 13 13 13 13 ...
$ m4b16ma : int 12 2 7 13 94 3 10 8 18 6 ...

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$ m4b16c2a : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b16c2b : int 189 1418 123 5482 737 1040 95 189 331 614 ...
$ m4b16c2c : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b16c2d : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b16c2e : int 189 1418 123 5482 737 1040 95 189 331 614 ...
$ m4b16c2e1: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b16c2e2: int 0 0 0 0 0 0 0 0 0 0 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 252 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b16ma: Named int 1 2 3 4 5 6 7 8 10 11 ...
.. ..- attr(*, "names")= chr "Seeds" "Saplings" "Chemical fertilizers" "Organic
fertilizers(seft-provided)" ...
NULL## 15 #### muc4b17 ##########'data.frame':
15124 obs. of 11 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 3 3 3 3 4 4 4 4 4 16 ...
$ xa: num 91 91 91 91 148 148 148 148 148 382 ...
$ diaban : int 6 6 6 6 6 6 6 6 6 10 ...
$ hoso : int 13 13 13 13 14 14 14 15 15 13 ...
$ m4b17ma: int 3 1 2 5 3 2 1 1 4 4 ...
$ m4b17c2: int 0 0 0 0 60 200 85 20 25 165 ...
$ m4b17c3: int 20 10 50 40 0 0 0 45 50 73 ...
$ m4b17c4: int 0 0 0 0 0 0 0 10 10 10 ...
$ m4b17c5: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b17c6: int 20 10 50 40 60 200 85 75 85 248 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b17ma: Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "Nitrogenous" "Phosphat" "Potassium" "NPK" ...
NULL## 16 #### muc4b21 ##########'data.frame':
12967 obs. of 10 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 16 16 16 16 16 16 16 16 16 16 ...
$ xa: num 382 382 382 397 397 397 397 397 406 406 ...
$ diaban : int 10 10 10 2 2 2 2 2 19 19 ...
$ hoso: int 13 13 15 14 14 19 19 19 13 13 ...
$ m4b21ma : int 5 1 5 5 12 15 5 12 8 12 ...
$ m4b21c3 : int 210 3200 10 40 50 50 50 2550 9 150 ...

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$ m4b21c4a: int 125 3200 0 0 0 50 0 0 9 0 ...
$ m4b21c4b: int 7088 76208 NA NA NA 4725 NA NA 2980 NA ...
$ m4b21c5 : int 11908 76208 587 2269 95 4725 2835 6025 2980 406 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b21ma: Named int 1 2 3 4 5 6 7 8 9 10 ...
.. ..- attr(*, "names")= chr "Live pig pork" "Live buffalo and cow meat" "Horses" "Sheep,goats" ...
NULL## 17 #### muc4b22 ##########'data.frame':
8111 obs. of 29 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen: int 16 16 16 16 16 16 16 16 16 16 ...
$ xa: num 382 382 382 397 397 406 406 406 406 406 ...
$ diaban : int 10 10 10 2 2 19 19 19 19 19 ...
$ hoso: int 13 13 15 14 19 13 13 15 15 15 ...
$ m4b22ma : int 1 5 5 5 5 1 5 1 2 5 ...
$ m4b22c7 : int 21547 1559 316 0 0 0 0 1910 0 226 ...
$ m4b22c8 : int 22208 5421 90 1418 1418 1549 659 2805 723 542 ...
$ m4b22c9 : int 775 898 27 38 95 181 0 90 0 0 ...
$ m4b22c10a: int 227 60 0 0 0 90 0 45 0 18 ...
$ m4b22c10b: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c10c: int 0 0 0 0 0 0 0 217 0 0 ...
$ m4b22c10d: int 0 0 0 0 0 90 0 90 0 18 ...
$ m4b22c10e: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c10f: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c10g: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c10h: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c10i: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c10j: int 359 0 0 0 0 0 0 0 0 0 ...
$ m4b22c10k: int 3260 0 0 0 0 135 0 0 0 0 ...
$ m4b22c11 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c12 : int 5481 756 0 0 0 452 0 271 632 0 ...
$ m4b22c13 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c14 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c15 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c16 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c17 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b22c18 : int 435 123 0 0 0 0 0 0 0 90 ...
$ m4b22c19 : int 54293 8816 434 1456 1512 2497 659 5428 1355 894 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:27"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1

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85..$ m4b22ma: Named int 1 2 3 4 5 6 7 8 9 10 ...
.. ..- attr(*, "names")= chr "Pigs" "Water buffalos, cows" "Horses" "Sheep, goats" ...
NULL## 18 #### muc4b31 ##########'data.frame':
200 obs. of 9 variables:$ tinh : int 1 1 1 1 1 4 4 4 6 8 ...
$ huyen : int 16 275 275 275 282 47 51 51 58 72 ...
$ xa: num 382 9895 9895 9946 10492 ...
$ diaban : int 10 16 16 3 10 1 14 5 4 4 ...
$ hoso : int 13 14 14 13 13 14 13 14 14 14 ...
$ m4b31ma: int 4 1 4 1 1 1 1 1 1 1 ...
$ m4b31c3: num 2 2 2 2 6 1 2 3 1 1 ...
$ m4b31c4: num 5670 18069 13552 3795 632 ...
$ m4b31c5: num 11340 36139 27104 7591 3793 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 254 254 254- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b31ma: Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "Soil preparation" "Irrigation" "Pest and disease control" "Riceplucking, semi-processing" ...
NULL## 19 #### muc4b32 ##########'data.frame':
199 obs. of 27 variables:$ tinh: int 1 1 1 1 1 4 4 4 6 8 ...
$ huyen : int 16 275 275 275 282 47 51 51 58 72 ...
$ xa: num 382 9895 9895 9946 10492 ...
$ diaban : int 10 16 16 3 10 1 14 5 4 4 ...
$ hoso: int 13 14 14 13 13 14 13 14 14 14 ...
$ m4b32ma : int 4 1 4 1 1 1 1 1 1 1 ...
$ m4b32c7 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c8 : int 397 99 63 0 36 0 97 34 0 111 ...
$ m4b32c9a: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c9b: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c9c: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c9d: int 2315 0 0 0 0 0 0 0 0 0 ...
$ m4b32c9e: int 0 0 0 0 0 0 0 0 1395 0 ...
$ m4b32c9f: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c9g: int 0 8312 5692 1265 0 826 4414 404 0 0 ...
$ m4b32c9h: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c9i: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c9j: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c9k: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c10: int 227 253 172 0 45 0 235 172 0 0 ...
$ m4b32c11: int 1100 1000 800 100 400 290 236 300 145 0 ...
$ m4b32c12: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c13: int 4100 0 0 0 0 0 0 0 0 0 ...
$ m4b32c14: int 0 0 0 0 0 0 0 0 0 0 ...

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$ m4b32c15: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b32c16: int 0 100 100 0 650 0 110 0 0 0 ...
$ m4b32c17: int 7853 9658 6740 1356 1029 1158 5143 954 1530 111 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:27"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b32ma: Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "Soil preparation" "Irrigation" "Pest and disease control" "Riceplucking, semi-processing" ...
NULL## 20 #### muc4b41 ##########'data.frame':
3504 obs. of 13 variables:$ tinh: int 1 2 2 2 2 2 2 2 2 2 ...
$ huyen : int 275 26 26 26 26 26 26 26 26 26 ...
$ xa: num 4939 730 730 730 739 ...
$ diaban : int 6 2 2 2 5 5 5 3 3 3 ...
$ hoso: int 19 13 14 15 13 14 15 13 14 15 ...
$ m4b41ma : int 11 11 11 11 11 11 11 11 11 11 ...
$ m4b41c3a: int 1175 2076 3552 2407 0 0 0 0 0 6954 ...
$ m4b41c3b: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b41c3c: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b41c3d: int 0 0 0 0 0 0 0 0 2371 0 ...
$ m4b41c3e: int 0 0 0 0 3811 3854 3869 2600 0 0 ...
$ m4b41c3f: int 1175 2076 3552 2407 3811 3854 3869 2600 2371 6954 ...
$ m4b41c4 : int 904 0 0 0 0 0 0 0 0 1337 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b41ma: Named int 1 2 3 4 5 6 7 8 9 10 ...
.. ..- attr(*, "names")= chr "Mu oil trees" "Cinnamon" "Anise" "Pine" ...
NULL## 21 #### muc4b42 ##########'data.frame':
2119 obs. of 30 variables:$ tinh: int 1 2 2 2 2 2 2 2 2 2 ...
$ huyen : int 275 26 26 26 26 26 26 26 26 26 ...
$ xa: num 4939 730 730 730 739 ...
$ diaban : int 6 2 2 2 5 5 5 3 3 3 ...
$ hoso: int 19 13 14 15 13 14 15 13 14 15 ...
$ m4b42ma : int 1 1 1 1 1 1 1 1 1 1 ...
$ m4b42c1 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c2 : int 0 0 0 0 0 0 0 0 135 0 ...
$ m4b42c3 : int 181 180 363 234 134 133 133 140 0 428 ...

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$ m4b42c4a: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c4b: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c4c: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c4d: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c4e: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c4f: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c4g: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c4h: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c4i: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c4j: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c4k: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c5 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c6 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c7 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c8 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c9 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c10: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c11: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c12: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b42c13: int 0 0 0 0 0 0 0 93 115 254 ...
$ m4b42c14: int 181 180 363 234 134 133 133 233 251 682 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:27"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b42ma: Named int 1 2.. ..- attr(*, "names")= chr "Forestry activities" "Forestry services"
NULL## 22 #### muc4b51 ##########'data.frame':
2671 obs. of 10 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 16 16 17 269 269 269 271 271 278 281 ...
$ xa: num 397 418 484 9604 9604 ...
$ diaban : int 2 21 11 8 8 8 7 7 9 2 ...
$ hoso: int 14 15 15 14 14 15 13 14 13 14 ...
$ m4b51ma : int 11 11 11 11 12 11 11 11 22 11 ...
$ m4b51c3 : int 36 80 1200 50 15 900 120 50 160 4880 ...
$ m4b51c4a: int 0 54 1150 20 5 900 50 0 150 4800 ...
$ m4b51c4b: int NA 1806 17655 452 316 13814 904 NA 4065 90713 ...
$ m4b51c5 : int 851 2675 18422 994 813 13814 2170 904 4336 92225 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b51ma: Named int 1 2 3 11 12 13 14 21 22 23.. ..- attr(*, "names")= chr "Aquacultural raising" "Auquacultural catching" "Aquacultural

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sevices" "Fish" ...
NULL## 23 #### muc4b52 ##########'data.frame':2013 obs. of 30 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 16 16 17 269 269 271 271 278 281 281 ...
$ xa: num 397 418 484 9604 9604 ...
$ diaban : int 2 21 11 8 8 7 7 9 2 2 ...
$ hoso: int 14 15 15 14 15 13 14 13 14 15 ...
$ m4b52ma : int 1 1 1 1 1 1 1 2 1 1 ...
$ m4b52c6 : int 19 361 3161 542 1354 362 45 0 14174 4512 ...
$ m4b52c7 : int 47 0 0 361 4966 181 452 0 26458 7670 ...
$ m4b52c8 : int 9 90 45 45 45 90 0 181 1890 135 ...
$ m4b52c9a: int 0 0 181 0 0 0 0 0 1134 90 ...
$ m4b52c9b: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c9c: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c9d: int 0 27 0 0 0 0 0 0 0 0 ...
$ m4b52c9e: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c9f: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c9g: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c9h: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c9i: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c9j: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c9k: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c10: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c11: int 0 0 0 0 271 0 0 0 0 0 ...
$ m4b52c12: int 0 0 452 0 0 0 0 0 1890 361 ...
$ m4b52c13: int 0 0 1199 0 0 0 0 0 10394 0 ...
$ m4b52c14: int 0 0 0 90 0 0 0 0 0 523 ...
$ m4b52c15: int 0 0 0 0 0 0 0 0 1417 902 ...
$ m4b52c16: int 0 0 0 0 0 0 0 0 2835 379 ...
$ m4b52c17: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4b52c18: int 0 0 361 0 0 90 0 0 4725 0 ...
$ m4b52c19: int 76 479 5398 1039 6636 723 497 181 64917 14574 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m4b52ma: Named int 1 2 3.. ..- attr(*, "names")= chr "Raising" "Catching" "Services"
NULL## 24 #### muc4c1 ##########'data.frame':
4007 obs. of 23 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 2 2 2 2 3 3 3 3 3 ...
$ xa: num 4 40 40 55 67 91 106 106 106 112 ...
$ diaban : int 12 6 6 11 23 6 13 13 13 20 ...
$ hoso : int 13 13 15 13 19 15 14 15 15 13 ...

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$ m4c1ma : int 1 1 1 1 1 1 1 1 2 1 ...
$ m4c1c2 : int 47 47 56 96 47 96 49 43 96 46 ...
$ m4c1c3 : num 12 12 12 12 12 7 12 12 12 12 ...
$ m4c1c4 : int 1 1 1 1 1 1 1 1 1 1 ...
$ m4c1c5 : int NA NA NA NA NA NA NA NA NA NA ...
$ m4c1c6 : int 100 100 100 100 100 100 100 100 100 100 ...
$ m4c1c7 : int 2 3 3 2 2 3 3 3 3 3 ...
$ m4c1c8 : int NA NA 1 1 NA 1 1 1 1 NA ...
$ m4c1c9 : int 14176 9453 11285 16370 4252 4253 2930 3611 6771 1512 ...
$ m4c1c10: num 170113 113440 135425 196434 51027 ...
$ m4c1c11: int NA NA 2 2 NA 2 2 2 2 NA ...
$ m4c1c12: int NA NA NA NA NA NA NA NA NA NA ...
$ m4c1c13: int NA NA 2 2 NA 2 2 2 2 NA ...
$ m4c1c14: int NA NA NA NA NA NA NA NA NA NA ...
$ m4c1c15: int 2 2 2 2 2 2 2 2 2 2 ...
$ m4c1c16: int NA NA NA NA NA NA NA NA NA NA ...
$ m4c1c17: num 170113 113440 135425 196434 51027 ...
$ m4c1c18: num 170113 113440 135425 196434 51027 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 251 254 251 252 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 7..$ m4c1c15: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4c1c13: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4c1c11: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4c1c8 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4c1c7 : Named int 1 2 3.. ..- attr(*, "names")= chr "Yes, enterprise" "Yes, private trading" "No"..$ m4c1c4 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ M4C1C2 : Named int 35 68 84 85 99.. ..- attr(*, "names")= chr "***Undefined Label" "***Undefined Label" "***Undefined Label""***Undefined Label" ...
NULL## 25 #### muc4c2 ##########'data.frame':
4007 obs. of 32 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 2 2 2 2 3 3 3 3 3 ...
$ xa: num 4 40 40 55 67 91 106 106 106 112 ...
$ diaban : int 12 6 6 11 23 6 13 13 13 20 ...
$ hoso: int 13 13 15 13 19 15 14 15 15 13 ...
$ m4c2ma : int 1 1 1 1 1 1 1 2 1 1 ...
$ m4c2c19 : int 0 0 60490 0 0 2315 0 5417 2708 0 ...
$ m4c2c20 : int 1890 1040 460 571 1701 302 0 867 1083 142 ...
$ m4c2c21a: int 5670 945 1083 0 1134 397 0 1083 0 0 ...
$ m4c2c21b: int 0 0 0 0 0 0 0 0 0 0 ...

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$ m4c2c21c: int 0 0 3250 0 0 0 0 0 0 0 ...
$ m4c2c21d: int 0 0 0 0 0 0 5670 0 2167 567 ...
$ m4c2c21e: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4c2c21f: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4c2c21g: int 0 0 0 0 0 0 284 0 181 0 ...
$ m4c2c21h: int 0 0 0 0 0 737 0 1625 0 0 ...
$ m4c2c21i: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4c2c21j: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4c2c21k: int 1134 0 0 0 0 0 0 0 0 0 ...
$ m4c2c22 : int 0 0 325 0 340 0 0 0 0 0 ...
$ m4c2stt : int 1 1 1 1 1 1 1 2 1 1 ...
$ m4c2c23 : int 0 1229 0 0 0 189 473 181 0 0 ...
$ m4c2c24 : int 0 0 0 0 0 945 567 903 542 0 ...
$ m4c2c25 : int 79386 0 0 0 0 9923 0 27084 0 0 ...
$ m4c2c26 : int 5670 3120 0 30455 0 0 0 0 0 0 ...
$ m4c2c27 : int 0 0 0 68524 11339 0 0 17334 0 0 ...
$ m4c2c28 : int 0 0 0 0 0 0 0 0 0 0 ...
$ m4c2c29 : int 22682 2363 0 22841 3402 0 0 0 0 0 ...
$ m4c2c30 : int 0 0 181 0 0 0 0 217 0 0 ...
$ m4c2c31 : int 945 567 0 4759 454 0 0 0 0 0 ...
$ m4c2c32 : int 117378 9264 65790 127149 18370 14808 6993 54709 6681 709 ...
$ m4c2c33 : int 117378 9264 65790 127149 18370 14808 6993 54709 6681 709 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12
NULL## 26 #### muc4d ##########'data.frame':
9399 obs. of 29 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 7 7 7 16 16 16 22 ...
$ diaban : int 12 12 12 22 22 22 15 15 15 19 ...
$ hoso: int 13 14 15 13 15 20 14 19 20 13 ...
$ m4dc2_01: int 0 9516 0 0 0 0 28548 0 0 0 ...
$ m4dc2_02: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_03: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_04: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_05: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_06: int 5670 9516 1903 2380 2836 1890 2379 5710 4758 14273 ...
$ m4dc2_07: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_08: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_09: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_10: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_11: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_12: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_13: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_14: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_15: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_16: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_17: int 1890 9611 952 0 14178 0 9516 9516 0 9516 ...

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$ m4dc2_18: int 0 0 0 0 0 0 0 0 9516 0 ...
$ m4dc2_19: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_20: int 0 0 0 0 0 0 0 0 0 0 ...
$ m4dc2_21: int NA NA NA NA NA NA NA NA NA NA ...
$ m4dc2_22: int NA NA NA NA NA NA NA NA NA NA ...
$ m4dc2_23: int NA NA NA NA NA NA NA NA NA NA ...
$ m4dc2_24: int NA NA NA NA NA NA NA NA NA NA ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 253 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12
NULL## 27 #### muc5a1 ##########'data.frame':
136854 obs. of 10 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 4 4 4 4 4 4 4 ...
$ diaban : int 12 12 12 12 12 12 12 12 12 12 ...
$ hoso : int 13 13 13 13 13 13 13 13 13 13 ...
$ m5a1ma : int 110 144 140 151 139 146 113 114 121 115 ...
$ m5a1c2a: num 3 4 4 NA 1 10 4 5 20 NA ...
$ m5a1c2b: num 180 200 300 100 20 100 400 250 50 200 ...
$ m5a1c3a: num 0 0 0 NA 0 0 0 0 0 NA ...
$ m5a1c3b: num NA NA NA 100 NA NA NA NA NA 0 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 252 254 254 254 254- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m5a1ma: Named int 101 102 110 111 112 113 114 115 116 118 ...
.. ..- attr(*, "names")= chr "Fragrant, specialty rice" "Sticky rice" "Pork" "Beef" ...
NULL## 28 #### muc5a2 ##########'data.frame':
236630 obs. of 14 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 4 4 4 4 4 4 4 ...
$ diaban : int 12 12 12 12 12 12 12 12 12 12 ...
$ hoso : int 13 13 13 13 13 13 13 13 13 13 ...
$ m5a2ma : int 137 117 108 132 107 150 131 151 135 111 ...
$ m5a2c2a: num NA 2 10 4 2.5 ...
$ m5a2c2b: num 50 64 80 50 60 13 150 300 45 75 ...
$ m5a2c3a: num NA 2 10 4 2.5 ...
$ m5a2c3b: num 50 64 80 50 60 13 150 300 45 75 ...
$ m5a2c4a: num NA 0 0 0 0 0 0 NA 0 0 ...
$ m5a2c4b: num 0 NA NA NA NA NA NA 0 NA NA ...

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$ m5a2c5a: num NA 0 0 0 0 0 0 NA 0 0 ...
$ m5a2c5b: num 0 NA NA NA NA NA NA 0 NA NA ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 252 254 254 254 254 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m5a2ma: Named int 101 102 103 104 105 106 107 108 109 110 ...
.. ..- attr(*, "names")= chr "Plain rice" "Sticky rice" "Maize" "Cassaca" ...
NULL## 29 #### muc5b1 ##########'data.frame':
111034 obs. of 10 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 4 4 4 4 4 4 4 ...
$ diaban: int 12 12 12 12 12 12 12 12 12 12 ...
$ hoso : int 13 13 13 13 13 13 13 13 13 13 ...
$ m5b1ma: int 228 217 216 204 218 219 226 215 221 220 ...
$ m5b1c2: int 500 60 30 1000 30 100 300 80 60 50 ...
$ m5b1c3: int 500 60 30 1000 30 100 300 80 60 50 ...
$ m5b1c4: int 0 0 0 0 0 0 0 0 0 0 ...
$ m5b1c5: int 0 0 0 0 0 0 0 0 0 0 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 252 253 253 253 253- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 1..$ m5b1ma: Named int 201 202 203 204 205 206 207 208 209 210 ...
.. ..- attr(*, "names")= chr "Pocket money for children" "Coal" "Coal briquette" "Petroleum" ...
NULL## 30 #### muc5b2 ##########'data.frame':
119120 obs. of 8 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 4 4 4 4 4 4 4 ...
$ diaban: int 12 12 12 12 12 12 12 12 12 12 ...
$ hoso : int 13 13 13 13 13 13 13 13 13 13 ...
$ m5b2ma: int 327 312 317 320 313 326 310 311 314 305 ...
$ m5b2c2: int 10560 150 300 600 50 30 150 200 200 600 ...
$ m5b2c3: int 0 0 0 0 0 0 0 0 0 0 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 252 253 253- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...

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- attr(*, "version")= int 12
NULL## 31 #### muc5b3 ##########'data.frame':
9399 obs. of 14 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 7 7 7 16 16 16 22 ...
$ diaban : int 12 12 12 22 22 22 15 15 15 19 ...
$ hoso: int 13 14 15 13 15 20 14 19 20 13 ...
$ m5b3c2_1: int 50 50 0 0 0 0 50 100 100 0 ...
$ m5b3c2_2: int 600 500 600 200 0 0 500 300 200 500 ...
$ m5b3c2_3: int 400 0 200 0 0 0 0 0 0 240 ...
$ m5b3c2_4: int 0 0 0 0 300 0 0 0 0 0 ...
$ m5b3c2_5: int 0 0 0 0 0 0 0 0 0 0 ...
$ m5b3c2_6: int 2000 0 1000 0 8000 10000 0 0 0 3000 ...
$ m5b3c2_7: int 2000 5000 0 0 0 0 3000 2000 2500 1500 ...
$ m5b3c2_8: int 5000 3000 2000 2000 4000 3000 2000 3000 3300 4000 ...
$ m5b3c2_9: int 0 0 0 0 0 0 0 0 0 0 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 253 253 253 253 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12
NULL## 32 #### muc6 ##########'data.frame':
9399 obs. of 42 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 7 7 7 16 16 16 22 ...
$ diaban : int 12 12 12 22 22 22 15 15 15 19 ...
$ hoso : int 13 14 15 13 15 20 14 19 20 13 ...
$ m6ma_01: int 1 2 2 2 2 2 2 2 2 2 ...
$ m6ma_02: int 2 3 3 3 7 7 7 11 7 7 ...
$ m6ma_03: int 7 7 7 7 11 11 11 12 12 11 ...
$ m6ma_04: int 11 11 11 11 12 12 12 15 15 12 ...
$ m6ma_05: int 12 12 12 12 14 15 14 17 21 14 ...
$ m6ma_06: int 14 14 14 14 15 17 15 20 22 15 ...
$ m6ma_07: int 15 15 15 15 17 20 17 21 23 20 ...
$ m6ma_08: int 17 17 20 17 20 21 20 22 24 22 ...
$ m6ma_09: int 20 20 21 20 21 22 21 23 25 23 ...
$ m6ma_10: int 22 21 22 21 22 23 22 24 27 24 ...
$ m6ma_11: int 23 22 23 22 23 24 23 25 28 25 ...
$ m6ma_12: int 24 23 24 23 24 25 24 26 30 26 ...
$ m6ma_13: int 25 24 25 24 25 26 25 27 31 27 ...
$ m6ma_14: int 26 25 26 25 26 27 26 28 32 28 ...
$ m6ma_15: int 27 26 27 26 27 28 27 30 34 30 ...
$ m6ma_16: int 28 27 28 27 28 31 28 31 35 31 ...
$ m6ma_17: int 30 28 30 28 30 33 30 32 0 32 ...
$ m6ma_18: int 32 30 31 30 31 34 31 34 NA 34 ...
$ m6ma_19: int 34 31 32 31 32 35 32 35 NA 35 ...

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$ m6ma_20: int 35 32 35 32 33 0 33 0 NA 0 ...
$ m6ma_21: int 0 33 0 33 34 NA 34 NA NA NA ...
$ m6ma_22: int NA 34 NA 34 35 NA 35 NA NA NA ...
$ m6ma_23: int NA 35 NA 35 0 NA 0 NA NA NA ...
$ m6ma_24: int NA 0 NA 0 NA NA NA NA NA NA ...
$ m6ma_25: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_26: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_27: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_28: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_29: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_30: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_31: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_32: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_33: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_34: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_35: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_36: int NA NA NA NA NA NA NA NA NA NA ...
$ m6ma_37: int NA NA NA NA NA NA NA NA NA NA ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 251 251 251 251 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12
NULL## 33 #### muc6b ##########'data.frame':
91597 obs. of 11 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 4 4 4 4 4 4 4 ...
$ diaban: int 12 12 12 12 12 12 12 12 12 12 ...
$ hoso : int 13 13 13 13 13 13 13 13 13 13 ...
$ m6c2 : int 24 2 15 14 23 12 34 25 1 35 ...
$ m6c3 : int 1 1 2 1 2 3 1 4 1 1 ...
$ m6c4t : int 0 0 0 0 0 0 0 0 0 0 ...
$ m6c4n : int 2004 2005 2008 2007 2006 2006 2008 2007 2006 2004 ...
$ m6c5 : int NA NA NA NA NA NA NA NA NA NA ...
$ m6c6 : int 1000 5000 8000 500 5000 2000 900 800 120000 50 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 252 251 252 253 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12
NULL## 34 #### muc7 ##########'data.frame':
9399 obs. of 30 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 7 7 7 16 16 16 22 ...

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$ diaban: int 12 12 12 22 22 22 15 15 15 19 ...
$ hoso : int 13 14 15 13 15 20 14 19 20 13 ...
$ m7c1 : int 1 2 1 1 1 1 1 1 1 1 ...
$ m7c2 : int 24 273 50 150 160 40 150 30 100 200 ...
$ m7c3 : int 1 1 1 1 1 1 1 1 1 1 ...
$ m7c4 : int 1 1 1 1 1 1 1 1 1 1 ...
$ m7c5 : int 2 2 2 2 2 2 2 2 2 2 ...
$ m7c6 : int 2 2 2 2 2 2 2 1 2 2 ...
$ m7c7 : num NA NA NA NA NA NA NA 42000 NA NA ...
$ m7c8 : int NA NA NA NA NA NA NA 24 NA NA ...
$ m7c9 : num 3.0e+06 2.0e+07 5.0e+06 4.0e+06 8.0e+06 4.0e+06 3.0e+06 1.5e+06 3.0e+06 5.0e+06 ...
$ m7c10 : int 2 1 2 2 2 2 2 2 2 2 ...
$ m7c11 : int NA 2 NA NA NA NA NA NA NA NA ...
$ m7c12 : num NA NA NA NA NA NA NA NA NA NA ...
$ m7c13 : num 0 0 0 0 0 0 0 0 0 0 ...
$ m7c14 : int 1 1 1 1 1 1 1 1 1 1 ...
$ m7c15a: int 1 1 1 1 1 1 1 1 1 1 ...
$ m7c15b: int 2 2 2 2 1 1 2 2 2 2 ...
$ m7c16 : int 1060 800 760 900 840 960 600 520 800 1440 ...
$ m7c17 : int 1 1 1 1 1 1 1 1 1 1 ...
$ m7c18 : int 1 1 1 1 1 1 1 1 1 1 ...
$ m7c19 : int 1500 800 502 600 700 620 350 300 320 300 ...
$ m7c19k: int 888 610 359 460 500 442 270 250 337 246 ...
$ m7c20 : int 14400 8500 5700 5400 6000 5400 4000 3000 4500 7500 ...
$ m7c21 : int 1 1 1 1 1 3 1 1 1 1 ...
$ m7c22 : int 216 72 144 288 144 180 72 72 144 180 ...
$ m7c23 : num 15676 9372 6604 6588 6984 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 253 251 251 251 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 13..$ m7c22 : Named int 1 2 3 4 5 6.. ..- attr(*, "names")= chr "collected" "dumped in river/lake" "dumped in a site nearby""Landfill burial" ...
..$ m7c21 : Named int 1 2 3 4 5 6.. ..- attr(*, "names")= chr "Somebody else collects it" "Dumping into ponds, lakes, rivers,
streams" "Dumping in a nearby site" "Landfill burial" ...
..$ m7c18 : Named int 1 2 3 4.. ..- attr(*, "names")= chr "National-grid electricity" "battery lamp, resin torch" "gas, oil,kerosene lamps" "others"..$ m7c17 : Named int 1 2 3 4 5 6.. ..- attr(*, "names")= chr "spetic/semi-spetic tank" "suilabh" "double spetic tank" "fishingbridge" ...
..$ m7c15b: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m7c15a: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m7c14 : Named int 1 2 3 4 5 6 7 8 9 10.. ..- attr(*, "names")= chr "tap wate reaching the house" "Public tap water" "drilled wells""protected dug well" ...
..$ m7c11 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"Vietnam VHLSS 2010 Manual (Version 1.0)

96..$ m7c10 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m7c6 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m7c5 : Named int 1 2 3 4 5 6.. ..- attr(*, "names")= chr "Reinforcement concrete" "Bricks/stones" "Wood/metal" "Calcareous
soil/straw" ...
..$ m7c4 : Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "Reinforcement concrete" "Tiles (cement, terracotta)" "Roof slabs(cement, metal)" "Leave/straw/rolled roofing" ...
..$ m7c3 : Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "Reinforcement concrete" "Bricks/stones" "Iron/steel/good wood""Poor-quality wood/bamboo" ...
NULL## 35 #### muc8 ##########'data.frame':
9399 obs. of 53 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 7 7 7 16 16 16 22 ...
$ diaban : int 12 12 12 22 22 22 15 15 15 19 ...
$ hoso: int 13 14 15 13 15 20 14 19 20 13 ...
$ m8c1a : int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c1b : int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c1c : int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c1d : int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c1e : int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_01: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_02: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_03: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_04: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_05: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_06: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_07: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_08: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_09: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_10: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_11: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_12: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_13: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_14: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c21_15: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_01: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_02: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_03: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_04: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_05: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_06: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_07: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_08: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_09: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_10: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_11: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_12: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_13: int 2 2 2 2 2 2 2 2 2 2 ...

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$ m8c22_14: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c22_15: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c2a : int NA NA NA NA NA NA NA NA NA NA ...
$ m8c2b : int NA NA NA NA NA NA NA NA NA NA ...
$ m8c3: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c9: int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c10a : int NA NA NA NA NA NA NA NA NA NA ...
$ m8c10b : int NA NA NA NA NA NA NA NA NA NA ...
$ m8c10c : int NA NA NA NA NA NA NA NA NA NA ...
$ m8c11a : int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c11b : int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c12a : int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c12b : int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c12c : int 2 2 2 2 2 2 2 2 2 2 ...
$ m8c13 : int 2 2 2 2 2 2 2 2 2 2 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 251 251 251 251 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 44..$ m8c13: Named int 1 2 3 4.. ..- attr(*, "names")= chr "insufficient" "sufficient" "more than sufficient" "No comment"..$ m8c12c : Named int 1 2 3 4.. ..- attr(*, "names")= chr "insufficient" "sufficient" "more than sufficient" "No comment"..$ m8c12b : Named int 1 2 3 4.. ..- attr(*, "names")= chr "insufficient" "sufficient" "more than sufficient" "No comment"..$ m8c12a : Named int 1 2 3 4.. ..- attr(*, "names")= chr "insufficient" "sufficient" "more than sufficient" "No comment"..$ m8c11b : Named int 1 2 3 4.. ..- attr(*, "names")= chr "insufficient" "sufficient" "more than sufficient" "No comment"..$ m8c11a : Named int 1 2 3 4.. ..- attr(*, "names")= chr "insufficient" "sufficient" "more than sufficient" "No comment"..$ m8c10c : Named int 1 2 3 4 5 6 7 8 9 10 ...
.. ..- attr(*, "names")= chr "Increased production costs in agriculture, forestry and fisheries""Low selling prices of agricultural, forestry and fisheries products" "Cattle and poultry sufferfrom epidemics or death" "Droughts, floods, pests, and harvest loss affect agricultural, forestry
and fisheries production" ...
..$ m8c10b : Named int 1 2 3 4 5 6 7 8 9 10 ...
.. ..- attr(*, "names")= chr "Increased production costs in agriculture, forestry and fisheries""Low selling prices of agricultural, forestry and fisheries products" "Cattle and poultry sufferfrom epidemics or death" "Droughts, floods, pests, and harvest loss affect agricultural, forestry
and fisheries production" ...
..$ m8c10a : Named int 1 2 3 4 5 6 7 8 9 10 ...
.. ..- attr(*, "names")= chr "Increased production costs in agriculture, forestry and fisheries""Low selling prices of agricultural, forestry and fisheries products" "Cattle and poultry sufferfrom epidemics or death" "Droughts, floods, pests, and harvest loss affect agricultural, forestry
and fisheries production" ...
..$ m8c9: Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "Yes, very much" "Yes" "unchanged" "Worse" ...
..$ m8c3: Named int 1 2.. ..- attr(*, "names")= chr "yes" "no"..$ m8c22_15: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"

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98..$ m8c22_14: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_13: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_12: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_11: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_10: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_09: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_08: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_07: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_06: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_04: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_03: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_02: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c22_01: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_15: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_14: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_13: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_12: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_11: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_10: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_09: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_08: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_07: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_06: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_04: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_03: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_02: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c21_01: Named int 1 2 3.. ..- attr(*, "names")= chr "Yes" "No" "Doesnt know"..$ m8c1e: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"Vietnam VHLSS 2010 Manual (Version 1.0)

99..$ m8c1d: Named int 1 2.. ..- attr(*, "names")= chr..$ m8c1c: Named int 1 2.. ..- attr(*, "names")= chr..$ m8c1b: Named int 1 2.. ..- attr(*, "names")= chr..$ m8c1a: Named int 1 2.. ..- attr(*, "names")= chr
NULL"Yes" "No""Yes" "No""Yes" "No""Yes" "No"## 36 #### muc8vayno ##########'data.frame':
1367 obs. of 12 variables:$ tinh : int 1 1 1 1 1 1 1 1 2 2 ...
$ huyen : int 16 16 17 250 273 275 277 281 24 26 ...
$ xa: num 382 406 484 9013 9790 ...
$ diaban: int 10 19 11 3 9 3 7 2 3 2 ...
$ hoso : int 14 15 13 15 14 14 13 15 15 13 ...
$ m8ma : int 1 1 1 1 1 1 1 1 1 1 ...
$ m8c4 : int 1 4 4 5 3 1 1 1 5 1 ...
$ m8c5 : int 6000 3000 5000 16000 4000 10000 8000 10000 15000 20000 ...
$ m8c6a : num 0.6 0.03 0.3 0.5 0.65 ...
$ m8c6b : int 1 4 1 4 1 1 1 1 1 4 ...
$ m8c7 : int 0 0 0 0 0 0 0 50 0 0 ...
$ m8c8 : int 5000 3000 5090 16840 4000 10000 8000 10000 15000 20000 ...
- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 251 253 254 251 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 2..$ m8c6b: Named int 1 2 3 4.. ..- attr(*, "names")= chr "month" "quarter" "6 months" "year"..$ m8c4 : Named int 1 2 3 4 5.. ..- attr(*, "names")= chr "Social Policy Bank" "Employment Support Fund" "Poverty Reduction
Fund" "Socio-political organisations" ...
NULL## 37 #### ttchung ##########'data.frame':
9399 obs. of 118 variables:$ tinh: int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen: int 1 1 1 1 1 1 1 1 1 1 ...
$ xa: num 4 4 4 7 7 7 16 16 16 22 ...
$ diaban: int 12 12 12 22 22 22 15 15 15 19 ...
$ hoso: int 13 14 15 13 15 20 14 19 20 13 ...
$ quyen: int 1 1 1 1 1 1 1 1 1 1 ...
$ tsphieu: int 1 1 1 1 1 1 1 1 1 1 ...
$ ttnt: int 1 1 1 1 1 1 1 1 1 1 ...
$ dantoc: int 1 1 1 1 1 1 1 1 1 1 ...
$ phdich: int 2 2 2 2 2 2 2 2 2 2 ...
$ dtv: int 2 2 2 1 1 1 48 48 48 2 ...
$ dt: int 1 1 1 1 1 1 1 1 1 1 ...
$ ngaydt: int 13 9 13 5 18 12 21 20 22 6 ...

Vietnam VHLSS 2010 Manual (Version 1.0)

100

$ thangdt: int$ tsnguoi: int$ m1b1: int$ tsmuc1b: int$ m2act: num$ m2atn: num$ m2btn: num$ m4atn1: num$ m4atn2: num$ m4atn3: num$ m4atn4: num$ m4atn5: int$ m4atn6: num$ m4atn: num$ m4b21a: int$ m4b21b: int$ m4b21t: num$ kydt: int$ m4b0c1: int$ m4b0tn: num$ m4b1a: int$ m4b1b: int$ m4b11t: int$ m4b12t: num$ m4b13t: num$ m4b14t: num$ tongthu_01: num$ tongthu_02: num$ tongthu_03: num$ tongthu_04: num$ tongthu_05: num$ tongthu_06: num$ tongthu_07: num$ tongthu_08: num$ tongthu_09: num$ tongthu_10: num$ tongthu_11: num$ tongthu_12: num$ tongthu_13: num$ tongthu_14: num$ m4b22t: num$ m4b21c: num$ m4b22c: num$ m4b31a: int$ m4b31b: int$ m4b3t: num$ m4b3c: num$ m4b41a: int$ m4b41b: int$ m4b4t: num$ m4b4c: num$ chisxkd_1 : num$ chisxkd_2 : num$ chisxkd_3 : num$ chisxkd_4 : num$ chisxkd_5 : num

9 9 9 7 7 7 9 9 9 12 ...
6 2 4 4 4 5 2 3 4 5 ...
2 2 2 2 2 2 2 2 2 2 ...
NA NA NA NA NA NA NA NA NA NA ...
24800 0 10000 12500 7200 ...
0 0 0 0 0 95 0 0 0 0 ...
NA NA NA NA NA NA NA NA NA NA ...
73716 159870 148469 79965 56712 ...
4725 2855 9517 6664 30246 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 63948 105071 53691 22685 ...
78441 226672 263057 140320 109643 ...
2 2 2 2 2 2 2 2 2 2 ...
2 2 2 2 2 2 2 2 2 2 ...
0 0 0 0 0 0 0 0 0 0 ...
2 2 2 1 1 1 2 2 2 3 ...
2 2 2 2 2 2 2 2 2 2 ...
0 0 0 0 0 0 0 0 0 0 ...
2 2 2 2 2 2 2 2 2 2 ...
2 2 2 2 2 2 2 2 2 2 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
256114 255316 265912 142700 126657 ...
0 0 0 0 0 95 0 0 0 0 ...
0 0 0 0 0 ...
78441 226672 263057 140320 109643 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
170113 0 0 0 0 ...
7561 28643 2855 2380 17014 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
2 2 2 2 2 2 2 2 2 2 ...
2 2 2 2 2 2 2 2 2 2 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
2 2 2 2 2 2 2 2 2 2 ...
2 2 2 2 2 2 2 2 2 2 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
117378 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...
0 0 0 0 0 0 0 0 0 0 ...

Vietnam VHLSS 2010 Manual (Version 1.0)

101$ chisxkd_6 : num 0 0 0 0 0 0 0 0 0 0 ...
$ chisxkd_7 : num 0 0 0 0 0 0 0 0 0 0 ...
$ chisxkd_8 : num 117378 0 0 0 0 ...
$ thunhap: num 138736 255316 265912 142700 126657 ...
$ thubq: num 1927 10638 5540 2973 2639 ...
$ chikhac_1 : num 24800 0 10000 12500 7200 ...
$ chikhac_2 : num 1410 100 450 500 700 ...
$ chikhac_3 : num 4016 2216 3461 6217 6111 ...
$ chikhac_4 : num 4911 2103 3121 3481 5979 ...
$ chikhac_5 : num 2560 1090 2000 2308 3650 ...
$ chikhac_6 : num 33460 33230 32050 17938 37440 ...
$ chikhac_7 : num 10050 8550 3800 2200 12300 ...
$ chikhac_8 : num 0 0 0 38000 0 0 25000 0 800 0 ...
$ chikhac_9 : num 15676 9372 6604 6588 6984 ...
$ m4b5c1a: int 2 2 2 2 2 2 2 2 2 2 ...
$ m4b5c1b: int 2 2 2 2 2 2 2 2 2 2 ...
$ m4b5t: num 0 0 0 0 0 0 0 0 0 0 ...
$ m4b5c: num 0 0 0 0 0 0 0 0 0 0 ...
$ m4c1: int 1 2 2 2 2 2 2 2 2 2 ...
$ m4ctt: num 170113 0 0 0 0 ...
$ m4ct: num 170113 0 0 0 0 ...
$ m4cct: num 117378 0 0 0 0 ...
$ m4cc: num 117378 0 0 0 0 ...
$ m4dtn: num 7561 28643 2855 2380 17014 ...
$ m5a1ct: num 4016 2216 3461 6217 6111 ...
$ m5a1c4: num 3616 2216 3461 6217 6111 ...
$ m5a1c5: num 400 0 0 0 0 0 0 0 0 0 ...
$ m5a2ct: num 4911 2103 3121 3481 5979 ...
$ m5a2c6: num 4911 2103 3121 3481 5979 ...
$ m5a2c7: num 0 0 0 0 0 0 0 0 0 0 ...
[list output truncated]- attr(*, "datalabel")= chr ""- attr(*, "time.stamp")= chr " 9 May 2012 09:33"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%9.0g" "%8.0g" ...
- attr(*, "types")= int 252 252 254 252 252 251 251 251 251 251 ...
- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Province" "District" "Commune" "Enumerator area" ...
- attr(*, "version")= int 12- attr(*, "label.table")=List of 16..$ M4C1: Named int 1 2.. ..- attr(*, "names")= chr "C\xe3" "Kh ｫ ng"..$ quyen : Named int 1 2.. ..- attr(*, "names")= chr "Income & Expenditure" "Income"..$ ttnt: Named int 1 2.. ..- attr(*, "names")= chr "Urban" "Rural"..$ phdich : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m1b1: Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4b21a : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4b21b : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4b0c1 : Named int 1 2.. ..- attr(*, "names")= chr "Yes" "No"..$ m4b1a : Named int 1 2

Vietnam VHLSS 2010 Manual (Version 1.0)

102.. ..- attr(*, "names")= chr..$ m4b1b : Named int 1 2.. ..- attr(*, "names")= chr..$ m4b31a : Named int 1 2.. ..- attr(*, "names")= chr..$ m4b31b : Named int 1 2.. ..- attr(*, "names")= chr..$ m4b41a : Named int 1 2.. ..- attr(*, "names")= chr..$ m4b41b : Named int 1 2.. ..- attr(*, "names")= chr..$ m4b5c1b: Named int 1 2.. ..- attr(*, "names")= chr..$ m3c1: Named int 1 2.. ..- attr(*, "names")= chr
NULL"Yes" "No""Yes" "No""Yes" "No""Yes" "No""Yes" "No""Yes" "No""Yes" "No""Yes" "No"## 38 #### weight10 ##########'data.frame':
3133 obs. of 5 variables:$ tinh : int 1 1 1 1 1 1 1 1 1 1 ...
$ huyen : int 1 1 1 1 1 1 2 2 2 2 ...
$ xa: int 4 7 16 22 28 34 40 55 67 79 ...
$ diaban: int 12 22 15 19 20 25 6 11 23 11 ...
$ wt9: int 3977 4805 4140 4471 3820 3997 4088 3571 3992 4137 ...
- attr(*, "datalabel")= chr "VHLSS08 Weight"- attr(*, "time.stamp")= chr "27 Jul 2011 15:25"- attr(*, "formats")= chr "%8.0g" "%8.0g" "%8.0g" "%8.0g" ...
- attr(*, "types")= int 251 252 252 251 252- attr(*, "val.labels")= chr "" "" "" "" ...
- attr(*, "var.labels")= chr "Tinh/Province" "Huyen/District" "Xa/Commune" "Dia ban/Cluster" ...
- attr(*, "version")= int 12
NULL

Vietnam VHLSS 2010 Manual (Version 1.0)

103

5.2 Summary of each variable> Rnames<-sub(".dta","",file.names)> for(j in 1:38){+ cat("#### ",j, ": ",Rnames[j]," ###########################\n")+ print(summary(lss2010[[j]]))+ cat("\n\n")
+ }
####

1 : hhexpe10 ###########################
tinh
huyen
xa
diabanMin.
: 1.00
Min.
: 1.0
Min.
:
4
Min.
: 1.00
1st Qu.:26.00
1st Qu.:271.0
1st Qu.: 9646
1st Qu.: 4.00
Median :48.00
Median :493.0
Median :20260
Median : 8.00
Mean
:49.74
Mean:501.7Mean:18258Mean:10.6825913
3rd Qu.:77.00
3rd Qu.:747.0
3rd Qu.:26545
3rd Qu.:14.00
Max.
:96.00Max.
:973.0Max.
:32248Max.
:91.00Max.
:310910hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.51

compfoodnom
Min.
:
78
1st Qu.: 15035
Median : 21924
Mean:

3rd Qu.:15.00
Max.
:24.00

3rd Qu.: 31864

compricenom
Min.
:0
1st Qu.: 2735
Median : 4018
Mean
: 4362
3rd Qu.: 5574
Max.
:90005compnonricenom
Min.
:
68
1st Qu.: 10829
Median : 17271
Mean: 21551
3rd Qu.: 27027
Max.
:305524

bestfoodnomMin.
: 1041
1st Qu.: 15286
Median : 22527
Mean: 26442
3rd Qu.: 32508
Max.
:316143

bestricenom
Min.
:0
1st Qu.: 2744
Median : 4031
Mean
: 4377
3rd Qu.: 5593
Max.
:90315

bestnonricenom
Min.
:
222
1st Qu.: 11092
Median : 17789
Mean: 22065
3rd Qu.: 27678
Max.
:310738

urban10Min.
:0.0000
1st Qu.:0.0000
Median :0.0000
Mean:0.2818
3rd Qu.:1.0000
Max.
:1.0000

reg8
Min.
:1.000
1st Qu.:2.000
Median :5.000
Mean:4.547
3rd Qu.:7.000
Max.
:8.000reg6
Min.
:1.000
1st Qu.:2.000
Median :3.000
Mean:3.315
3rd Qu.:5.000
Max.
:6.000monthint
Min.
: 6.000
1st Qu.: 7.000
Median : 9.000
Mean: 9.297
3rd Qu.:12.000
Max.
:12.000

hhsizeMin.
: 1.000
1st Qu.: 3.000
Median : 4.000
Mean: 3.936
3rd Qu.: 5.000
Max.
:15.000

wt9
Min.
: 369
1st Qu.:1834
Median :2157
Mean
:2370
3rd Qu.:2682
Max.
:7936

hhszwtMin.
: 737
1st Qu.: 5758
Median : 8315
Mean
: 9175
3rd Qu.:11378
Max.
:46592

defltemriceMin.
:0.9547
1st Qu.:0.9547
Median :0.9870
Mean:1.0241
3rd Qu.:1.1307
Max.
:1.1307

defltemnonricefood defltemnonfood
Min.
:1.052Min.
:1.031
1st Qu.:1.057
1st Qu.:1.031
Median :1.063
Median :1.041
Mean:1.088Mean:1.048
3rd Qu.:1.147
3rd Qu.:1.071
Max.
:1.147Max.
:1.071deflGSOspatialfood deflGSOspatialnonfood
deflSCOLI
Min.
:0.9181Min.
:0.9379
Min.
:0.8890
79.21
1st Qu.:0.9466
1st Qu.:0.9543
1st Qu.:0.8990
Median :0.9712
Median :0.9757
Median :0.9830
Mean:0.9952
Mean:0.9945
Mean:0.9912
3rd Qu.:1.0179
3rd Qu.:1.0251
3rd Qu.:1.0030
Max.
:1.1604Max.
:1.1609Max.
:1.2650Max.
:63772.52

compfoodrl
Min.
:
79.21

compfoodpcrl
Min.
:

1st Qu.: 14310.17
Median : 20612.40
Mean: 23970.00
3rd Qu.: 29488.10
Max.
:287750.53

1st Qu.: 4022.56
Median : 5593.15
Mean: 6484.15
3rd Qu.: 7835.43

Vietnam VHLSS 2010 Manual (Version 1.0)

104

bestfoodrlMin.
: 1072
1st Qu.: 14675
Median : 21417
Mean: 24613
3rd Qu.: 30508
Max.
:331285

bestfoodpcrl
Min.
: 425.7
1st Qu.: 4151.1
Median : 5749.2
Mean: 6649.5
3rd Qu.: 8060.0
Max.
:67123.6

compnonfoodnom
Min.
:
11.2
1st Qu.: 9839.3
Median : 18169.2
Mean: 26699.7
3rd Qu.: 32160.6
Max.
:926879.2

compnonfoodrl
Min.
:
11.2
1st Qu.: 9653.7
Median : 17641.1
Mean: 25058.8
3rd Qu.: 30495.8
Max.
:766715.7

comphhnomMin.
: 247.9
1st Qu.: 26221.8
Median : 40856.1
Mean: 52613.1
3rd Qu.: 64326.5
Max.
:989327.9

comphhrl
Min.
:
250.6
1st Qu.: 25377.5
Median : 39148.1
Mean: 49028.8
3rd Qu.: 60284.9
Max.
:817496.6

comppcnom
Min.
:
247.9
1st Qu.: 7326.9
Median : 11193.1
Mean: 14247.2
3rd Qu.: 17212.5
Max.
:376520.9

comppcrl
Min.
:
250.6
1st Qu.: 7126.4
Median : 10654.0
Mean: 13246.0
3rd Qu.: 16098.7
Max.
:313108.8

bestnonfoodrlMin.
: 484.5
1st Qu.: 13704.9
Median : 24636.1
Mean: 36541.3
3rd Qu.: 42747.5
Max.
:938037.8

bestnonfoodpcrl
Min.
:
244.4
1st Qu.: 3863.2
Median : 6786.2
Mean: 10139.2
3rd Qu.: 11712.4
Max.
:278797.3

besthhnom
Min.
:
2453
1st Qu.: 31029
Median : 48149
Mean: 65914
3rd Qu.: 77948
Max.
:1542215

besthhrl
Min.
:
2467
1st Qu.: 30483
Median : 47124
Mean: 61155
3rd Qu.: 73278
Max.
:1125245

compnonfoodpcrl
Min.
:
11.2
1st Qu.: 2686.5
Median : 4818.6
Mean: 6761.9
3rd Qu.: 8208.5
Max.
:251322.9

bestpcrl
Min.
: 1206
1st Qu.: 8489
Median : 12882
Mean: 16789
3rd Qu.: 19725
Max.
:330399

bestrlpopquintMin.
:1.000
1st Qu.:2.000
Median :3.000
Mean:3.002
3rd Qu.:4.000
Max.
:5.000compfoodpcnom
Min.
: 78
1st Qu.: 4190
Median : 5939
Mean
: 7029
3rd Qu.: 8462
Max.
:77188compricepcnom
Min.
:
0.0
1st Qu.: 833.7
Median : 1075.5
Mean: 1125.8
3rd Qu.: 1365.2
Max.
:15000.8

compnonfoodpcnom
Min.
:
11.18
1st Qu.: 2744.69
Median : 5000.88
Mean: 7218.00
3rd Qu.: 8616.79
Max.
:300905.44

bestnonfoodnom
Min.
:
506.1
1st Qu.: 13870.2
Median : 25045.2
Mean: 39472.3
3rd Qu.: 44711.8
Max.
:1270749.0
bestpcnomMin.
: 1189
1st Qu.: 8613
Median : 13241
Mean: 18157
3rd Qu.: 20948
Max.
:424904

bestrlpopquinturb bestrlpopquintrur bestfoodpcnom
Min.
:1.000Min.
:1.000Min.
: 452.9
1st Qu.:2.000
1st Qu.:2.000
1st Qu.: 4299.9
Median :3.000
Median :3.000
Median : 6059.3
Mean:2.941Mean:3.046
Mean: 7168.5
3rd Qu.:4.000
3rd Qu.:4.000
3rd Qu.: 8634.1
Max.
:5.000Max.
:5.000Max.
:77866.8
NA's
:6750
NA's
:2649
bestricepcnom
compnonricepcnom bestnonricepcnom
Min.
:
0.0
Min.
:
68
Min.
:
74
1st Qu.: 836.5
1st Qu.: 3041
1st Qu.: 3147
Median : 1079.0
Median : 4791
Median : 4899
Mean
: 1129.6
Mean: 5903Mean: 6039
3rd Qu.: 1369.8
3rd Qu.: 7310
3rd Qu.: 7459
Max.
:15052.5
Max.
:76138
Max.
:76251

bestnonfoodpcnom
Min.
:
249.6
1st Qu.: 3848.5
Median : 6882.7
Mean: 10988.6
3rd Qu.: 12372.3
Max.
:347772.8####

2 : muc1a ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:26.00
1st Qu.:260.0
1st Qu.: 9325
Median :48.00
Median :493.0
Median :20269
Mean:49.38Mean:498.1
Mean:18140diabanMin.
: 1.00
1st Qu.: 4.00
Median : 8.00
Mean
:10.49Vietnam VHLSS 2010 Manual (Version 1.0)

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.49matv
Min.
: 1.00
1st Qu.: 1.00
Median : 3.00
Mean
: 2.78

105

3rd Qu.:75.00
Max.
:96.00m1ac2
Min.
:1.000Min.
:1.000
1st Qu.:1.000
Median :2.000
Mean:1.509
3rd Qu.:2.000
Max.
:2.000Max.
:5.000
m1ac7
Min.
: 0.0
1st Qu.:12.0
Median :12.0
Mean
:11.5
3rd Qu.:12.0
Max.
:12.0

3rd Qu.:741.0
Max.
:973.0m1ac3:1.000

3rd Qu.:26437
Max.
:32248m1ac4a:-2.000

3rd Qu.:14.00
Max.
:91.00

3rd Qu.:15.00
Max.
:24.00m1ac4b:1908

3rd Qu.: 4.00
Max.
:15.00m1ac5: 0.00

m1ac6

Min.

Min.

Min.

Min.

1st Qu.:1.000
Median :3.000
Mean:2.586
3rd Qu.:3.000
Max.
:7.000

1st Qu.: 3.000
Median : 6.000
Mean: 6.205
3rd Qu.: 9.000
Max.
:12.000

1st Qu.:1964
Median :1981
Mean
:1979
3rd Qu.:1995
Max.
:2010

1st Qu.: 15.00
Median : 28.00
Mean: 31.23
3rd Qu.: 46.00
Max.
:102.00

m1ac8
Min.
:1.00
1st Qu.:1.00
Median :1.00
Mean
:2.35
3rd Qu.:4.00
Max.
:6.00
NA's
:35559m1ac9Min.
:1.000
1st Qu.:1.000
Median :1.000
Mean:1.049
3rd Qu.:1.000
Max.
:5.000m1ac10Min.
: 1.00
1st Qu.:38.00
Median :60.00
Mean:58.433rd Qu.:83.00
Max.
:99.00NA's:36453

m1ac11nMin.
:-1.0
1st Qu.: 2.0
Median : 4.0
Mean
: 6.3
3rd Qu.: 7.0
Max.
:62.0
NA's
:36424NA's:7744
m1ac11tMin.
: 0.00
1st Qu.: 1.00
Median : 3.00
Mean
: 3.79
3rd Qu.: 6.00
Max.
:11.00NA's:36425diabanMin.
: 1.000
1st Qu.: 4.000
Median : 8.000
Mean: 9.936
3rd Qu.:13.000
Max.
:73.000

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.57
3rd Qu.:15.00
Max.
:20.00m1bma
Min.
:31.00
1st Qu.:31.00
Median :31.00
Mean:31.333rd Qu.:32.00
Max.
:35.003 : muc1b ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 4
Min.
: 124
1st Qu.:35.00
1st Qu.:349
1st Qu.:13342
Median :46.00
Median :477
Median :19888
Mean:53.03
Mean
:538
Mean
:19582
3rd Qu.:83.00
3rd Qu.:834
3rd Qu.:28981
Max.
:96.00
Max.
:973
Max.
:32248

1st Qu.:1.000
Median :2.000
Mean:1.802
3rd Qu.:2.000

####

m1bc3
Min.
:1.000
1st Qu.:1.000
Median :1.000
Mean:1.417Mean:0.9058
3rd Qu.:2.000
Max.
:2.000Max.
:7.0000

m1bc4
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.955m1bc5
Min.
: 6.00
1st Qu.:21.00
Median :24.00
Mean:26.19

m1bc6
Min.
:1.00
1st Qu.:1.00
Median :1.00
Mean
:1.35

m1bc7aMin.
: 0.000
1st Qu.: 1.000
Median : 2.000
Mean: 2.802

m1bc7bMin.
:0.0000
1st Qu.:0.0000
Median :0.0000

3rd Qu.:2.000
Max.
:2.000

3rd Qu.:28.00
Max.
:75.00

3rd Qu.:2.00
Max.
:5.00

3rd Qu.: 3.000
Max.
:12.000

3rd Qu.:0.0000

m1bc8
Min.
: 0.000
1st Qu.: 1.000
Median : 1.000
Mean: 1.916
3rd Qu.: 2.000
Max.
:12.000

m1bc9
Min.
:1.000
1st Qu.:1.000
Median :1.000
Mean:1.222
3rd Qu.:1.000
Max.
:5.000m1bc10Min.
: 1.00
1st Qu.:38.00
Median :74.00
Mean:61.59
3rd Qu.:79.00
Max.
:99.00
NA's
:1113

####

###########################
huyen
xa
Min.
: 1.0
Min.
:
4
1st Qu.:260.0
1st Qu.: 9325

NA's

4 : muc2
tinh
Min.
: 1.00
1st Qu.:26.00:2
m1bc11nMin.
:-1.000
1st Qu.: 1.000
Median : 2.000
Mean: 5.422
3rd Qu.: 6.000
Max.
:40.000
NA's:1112

diabanMin.
: 1.00
1st Qu.: 4.00

Vietnam VHLSS 2010 Manual (Version 1.0)

m1bc11tMin.
: 0.000
1st Qu.: 1.000
Median : 3.000
Mean: 4.269
3rd Qu.: 7.000
Max.
:11.000
NA's
:1113

hoso
Min.
:13.00
1st Qu.:13.00

matv
Min.
: 1.00
1st Qu.: 1.00

106Median :48.00
Mean:49.38
3rd Qu.:75.00
Max.
:96.00Median :493.0
Mean:498.1
3rd Qu.:741.0
Max.
:973.0Median :20269
Mean:18140
3rd Qu.:26437
Max.
:32248Median : 8.00
Mean
:10.49
3rd Qu.:14.00
Max.
:91.00m2c1
Length:36999
Class :character
Mode :character

Median :14.00
Mean:14.49
3rd Qu.:15.00
Max.
:24.00Median : 3.00
Mean
: 2.78
3rd Qu.: 4.00
Max.
:15.00

m2c2a
m2c2b
m2c3
m2c4
Min.
: 0.000
Min.
:0.000Min.
:1.000Min.
:1.000
1st Qu.: 0.000
1st Qu.:0.000
1st Qu.:1.000
1st Qu.:2.000
Median : 1.000
Median :0.000
Median :1.000
Median :3.000
Mean: 1.725
Mean:0.416Mean:1.057Mean:2.4943rd Qu.: 2.000
3rd Qu.:0.000
3rd Qu.:1.000
3rd Qu.:3.000
Max.
:12.000
Max.
:7.000Max.
:5.000Max.
:3.000
NA's
:4482
NA's
:4482
NA's
:4482
NA's
:4482
m2c5
m2c6
m2c7
m2c8
m2c9
Min.
:1.000Min.
: 0.000Min.
: 1.000
Min.
:1.000Min.
:1.000
1st Qu.:2.000
1st Qu.: 1.000
1st Qu.: 3.000
1st Qu.:1.000
1st Qu.:1.000
Median :2.000
Median : 2.000
Median : 6.000
Median :1.000
Median :2.000
Mean:1.981Mean: 2.647
Mean: 6.342Mean:1.127Mean:1.568
3rd Qu.:2.000
3rd Qu.: 3.000
3rd Qu.: 9.000
3rd Qu.:1.000
3rd Qu.:2.000
Max.
:2.000Max.
:12.000Max.
:12.000
Max.
:4.000Max.
:2.000NA's:14037NA's:27017NA's:30019NA's:27017NA's:27017m2c10am2c10bm2c11am2c11bm2c11c
Min.
:0.00
Min.
:0.00
Min.
:
-2.0
Min.
: -2.000Min.
: -2
1st Qu.:5.00
1st Qu.:0.00
1st Qu.:0.0
1st Qu.:0.000
1st Qu.:0
Median :7.00
Median :0.00
Median :67.5
Median :0.000
Median : 40
Mean
:5.59
Mean
:0.82
Mean
:
854.3
Mean
:
4.964
Mean
: 104
3rd Qu.:7.00
3rd Qu.:1.00
3rd Qu.:400.0
3rd Qu.:0.000
3rd Qu.: 120
Max.
:9.00
Max.
:9.00
Max.
:390000.0
Max.
:5000.000
Max.
:5000
NA's
:32689NA's:32689NA's:27017NA's:27017NA's:27017m2c11dm2c11em2c11fm2c11gm2c11h
Min.
: -2
Min.
: -2.0
Min.
: -2
Min.
:
-2.0
Min.
:
-2
1st Qu.:0
1st Qu.:0.0
1st Qu.:0
1st Qu.:50.0
1st Qu.:0
Median : 40
Median : 80.0
Median : 120
Median : 110.0
Median :
0
Mean
: 82
Mean
: 122.7
Mean
: 179
Mean
: 150.2Mean: 322
3rd Qu.: 100
3rd Qu.: 180.0
3rd Qu.: 230
3rd Qu.: 200.0
3rd Qu.: 210
Max.
:10000Max.
:8000.0
Max.
:5000
Max.
:13300.0Max.
:29000NA's:27017NA's:27017NA's:27017NA's:27017NA's:27017m2c11im2c11k
m2c12
m2c13
m2c14
Min.
: -2.0
Min.
:
0.0
Min.
:
0.00
Min.
:
0.00
Min.
:
0.00
1st Qu.:0.0
1st Qu.:487.2
1st Qu.:0.00
1st Qu.:0.00
1st Qu.:0.00
Median : 55.0
Median : 1031.5
Median :0.00
Median :0.00
Median :0.00
Mean: 516.6
Mean: 2562.8
Mean
:
98.03
Mean
:
34.15
Mean
:
40.69
3rd Qu.: 200.0
3rd Qu.: 2650.0
3rd Qu.:0.00
3rd Qu.:0.00
3rd Qu.:0.00
Max.
:25920.0Max.
:390000.0
Max.
:46184.00
Max.
:16684.00
Max.
:32000.00
NA's:27017NA's:27017NA's:27017NA's:27017m2c15am2c15b
m2c16
Min.
:1.00
Min.
:1.00
Min.
: 0.000
1st Qu.:1.00
1st Qu.:2.00
1st Qu.: 0.000
Median :1.00
Median :2.00
Median : 0.000
Mean
:1.34
Mean
:1.86
Mean
: 2.807
3rd Qu.:2.00
3rd Qu.:2.00
3rd Qu.: 5.000
Max.
:9.00
Max.
:9.00
Max.
:10.000
NA's:34030NA's:34030NA's:30610

####

5 :

muc3a

###########################

Vietnam VHLSS 2010 Manual (Version 1.0)

107

tinh
Min.
: 1.00
1st Qu.:31.00
Median :56.00
Mean:53.643rd Qu.:80.00
Max.
:96.00

huyen
Min.
: 1.0
1st Qu.:307.0
Median :570.0
Mean:538.43rd Qu.:794.0
Max.
:973.0m3c2
Length:19647
Class :character
Mode :character

m3c5b
Min.
:
0.0
1st Qu.:35.0
Median : 150.0
Mean: 588.6
3rd Qu.: 450.0
Max.
:168000.0
NA's
:2553

xa
Min.
:
4
1st Qu.:11446
Median :22498
Mean:19538
3rd Qu.:27685
Max.
:32248diabanMin.
: 1.0
1st Qu.: 4.0
Median : 8.0
Mean
:10.8
3rd Qu.:15.0
Max.
:91.0

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.49
3rd Qu.:15.00
Max.
:21.00matv
Min.
: 1.000
1st Qu.: 1.000
Median : 2.000
Mean: 2.549
3rd Qu.: 3.000
Max.
:12.000
NA's
:1

m3c3a
m3c3b
m3c4
m3c5a
Min.
:1.000Min.
: 1.000
Min.
:1.00
Min.
: 0.000
1st Qu.:1.000
1st Qu.: 4.000
1st Qu.:3.00
1st Qu.: 1.000
Median :1.000
Median : 5.000
Median :4.00
Median : 1.000
Mean:1.278Mean: 5.789
Mean
:3.62
Mean
: 2.554
3rd Qu.:1.000
3rd Qu.:10.000
3rd Qu.:4.00
3rd Qu.: 3.000
Max.
:8.000Max.
:13.000
Max.
:4.00
Max.
:80.000
NA's
:1
NA's
:1
NA's
:1
NA's
:1
m3c6a
m3c6b
m3c7
m3c8
Min.
: 0.0000
Min.
:
0
Min.
:1.00
Min.
:
0
1st Qu.: 0.0000
1st Qu.:300
1st Qu.:1.00
1st Qu.: 200
Median : 0.0000
Median : 1000
Median :1.00
Median : 800
Mean: 0.2329
Mean: 3077
Mean
:1.07
Mean
: 2795
3rd Qu.: 0.0000
3rd Qu.: 3000
3rd Qu.:1.00
3rd Qu.: 2500
Max.
:30.0000
Max.
:236000
Max.
:3.00
Max.
:90000NA's:1NA's:16204NA's:1
NA's:18463####

6 : muc3b ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:26.00
1st Qu.:260.0
1st Qu.: 9325
Median :48.00
Median :493.0
Median :20269
Mean:49.38Mean:498.1
Mean:18140
3rd Qu.:75.00
3rd Qu.:741.0
3rd Qu.:26437
Max.
:96.00Max.
:973.0Max.
:32248
m3c9
Min.
:1.00
1st Qu.:1.00
Median :1.00
Mean
:1.39
3rd Qu.:2.00
Max.
:2.00
m3c12bMin.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.908
3rd Qu.:2.000
Max.
:9.000NA's:14420diabanMin.
: 1.00
1st Qu.: 4.00
Median : 8.00
Mean
:10.49
3rd Qu.:14.00
Max.
:91.00hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.49
3rd Qu.:15.00
Max.
:24.00matv
Min.
: 1.00
1st Qu.: 1.00
Median : 3.00
Mean
: 2.78
3rd Qu.: 4.00
Max.
:15.00m3c10am3c10b
m3c11
m3c12aMin.
:-1.000Min.
: 0.000
Min.
:
0.0
Min.
:1.000
1st Qu.: 2.000
1st Qu.: 0.000
1st Qu.: 120.0
1st Qu.:1.000
Median : 5.000
Median : 0.000
Median : 174.0
Median :2.000
Mean: 5.218Mean: 0.098
Mean: 194.3
Mean:1.716
3rd Qu.: 8.000
3rd Qu.: 0.000
3rd Qu.: 254.0
3rd Qu.:2.000
Max.
:10.000Max.
:10.000
Max.
:11600.0
Max.
:2.000NA's:14420NA's:14420NA's:29246NA's:14420
m3c13
m3c14
m3c15
Min.
:
0.0
Min.
:
0.00
Min.
:
0.0
1st Qu.: 100.0
1st Qu.:0.00
1st Qu.:0.0
Median : 200.0
Median :0.00
Median :0.0
Mean: 505.9
Mean
:
36.44
Mean
:
592.7
3rd Qu.: 450.0
3rd Qu.:20.00
3rd Qu.:221.0
Max.
:44000.0Max.
:10000.00
Max.
:142745.0
NA's:27600NA's:27600NA's:27600####7 : muc4a ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4

diaban: 1.00Min.

Vietnam VHLSS 2010 Manual (Version 1.0)

Min.

hoso
:13.00Min.

matv: 1.00

108

1st Qu.:26.00
Median :48.00
Mean:49.38
3rd Qu.:75.00
Max.
:96.00

1st Qu.:260.0
Median :493.0
Mean:498.1
3rd Qu.:741.0
Max.
:973.0

1st Qu.: 9325
Median :20269
Mean:18140
3rd Qu.:26437
Max.
:32248

1st Qu.: 4.00
Median : 8.00
Mean
:10.49
3rd Qu.:14.00
Max.
:91.00

1st Qu.:13.00
Median :14.00
Mean:14.49
3rd Qu.:15.00
Max.
:24.00

1st Qu.: 1.00
Median : 3.00
Mean
: 2.78
3rd Qu.: 4.00
Max.
:15.00m4ac1am4ac1bm4ac1cm4ac2
m4ac3aMin.
:1.000
Min.
:1.00
Min.
:1.000Min.
:1.000Min.
: 1.0
1st Qu.:1.000
1st Qu.:1.00
1st Qu.:2.000
1st Qu.:1.000
1st Qu.:160.0
Median :2.000
Median :2.00
Median :2.000
Median :1.000
Median :240.0
Mean:1.707
Mean
:1.59
Mean
:1.851Mean:1.337
Mean:221.43rd Qu.:2.000
3rd Qu.:2.00
3rd Qu.:2.000
3rd Qu.:2.000
3rd Qu.:300.0
Max.
:2.000
Max.
:2.00
Max.
:2.000Max.
:2.000Max.
:365.0
NA's
:3593
NA's
:3593
NA's
:3593
NA's
:3593
NA's
:14836m4ac3mm4ac3
m4ac4cm4ac4mm4ac4
Length:36999
Min.
: 1.00Length:36999
Length:36999
Min.
: 2.00Class :character
1st Qu.:61.00
Class :character
Class :character
1st Qu.: 41.00
Mode :character
Median :92.00
Mode :character
Mode :character
Median : 85.00
Mean:75.83Mean: 75.08
3rd Qu.:92.00
3rd Qu.:110.00
Max.
:96.00Max.
:160.00
NA's:14836NA's:14836
m4ac5
m4ac6
m4ac7
m4ac8am4ac8bm4ac9
Min.
:1.000Min.
:-1.00Min.
:-1.000
Min.
:1.000
Min.
:1.00
Min.
:1.000
1st Qu.:1.000
1st Qu.:17.00
1st Qu.: 5.000
1st Qu.:1.000 1st Qu.:1.00
1st Qu.:1.000
Median :1.000
Median :22.00
Median : 8.000
Median :1.000 Median :1.00
Median :2.000
Mean:1.077Mean:21.12Mean: 6.786
Mean:1.961
Mean
:1.27
Mean
:1.658
3rd Qu.:1.000
3rd Qu.:26.00
3rd Qu.: 8.000
3rd Qu.:2.000 3rd Qu.:2.00
3rd Qu.:2.000
Max.
:9.000Max.
:30.00Max.
:24.000
Max.
:6.000
Max.
:2.00
Max.
:2.000NA's:14836NA's:14836NA's:14836NA's:14836NA's:34821NA's:14836m4ac10m4ac11
m4ac12am4ac12bm4ac13a
Min.
: -1
Min.
:
99
Min.
:
0
Min.
:
0
Min.
:1.000
1st Qu.: 1300
1st Qu.: 11808
1st Qu.:0
1st Qu.:0
1st Qu.:1.000
Median : 1930
Median : 20521
Median : 101
Median :0Median :1.000
Mean: 2319Mean: 25243
Mean: 1174Mean: 1506Mean:1.4743rd Qu.: 2835
3rd Qu.: 31917
3rd Qu.: 945
3rd Qu.: 1499
3rd Qu.:2.000
Max.
:46784Max.
:561409Max.
:56141
Max.
:132141Max.
:2.000NA's:29412NA's:29412NA's:29412NA's:29412NA's:29412
m4ac13bm4ac13cm4ac14m4ac15am4ac15mMin.
:1.000Min.
:1.000Min.
:1.000Min.
: 1.0
Length:36999
1st Qu.:1.000
1st Qu.:1.000
1st Qu.:1.000
1st Qu.: 55.0
Class :character
Median :2.000
Median :2.000
Median :2.000
Median : 90.0
Mode :character
Mean:1.592Mean:1.615Mean:1.547
Mean:111.8
3rd Qu.:2.000
3rd Qu.:2.000
3rd Qu.:2.000
3rd Qu.:144.0
Max.
:2.000Max.
:2.000Max.
:2.000Max.
:365.0NA's:29412NA's:29412NA's:14836NA's:26965m4ac15m4ac16cm4ac16m
m4ac16m4ac17Min.
: 2.00Length:36999
Length:36999
Min.
: 2.00Min.
:1.000
1st Qu.:92.00
Class :character
Class :character
1st Qu.: 41.00
1st Qu.:1.000
Median :92.00
Mode :character
Mode :character
Median :110.00
Median :1.000
Mean:85.26
Mean: 86.43
Mean:1.187
3rd Qu.:92.00
3rd Qu.:110.00
3rd Qu.:1.000

Vietnam VHLSS 2010 Manual (Version 1.0)

109

Max.
NA's

:96.00:26965m4ac18Min.
:-1.00
1st Qu.: 8.00
Median :12.00
Mean:14.79
3rd Qu.:20.00
Max.
:30.00NA's:26965m4ac23Min.
:
40
1st Qu.: 2549
Median : 4425
Mean
: 57243rd Qu.: 7200
Max.
:120832
NA's:34904m4ac27Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.961
3rd Qu.:2.000
Max.
:2.000NA's:9132
m4ac28eMin.
:0
1st Qu.:0
Median :0
Mean: 1005
3rd Qu.:0Max.
:35025NA's:35916

Max.
:160.00
Max.
:2.000NA's:26965NA's:26965m4ac19m4ac20m4ac21
m4ac22Min.
:-1.000
Min.
:1.000Min.
:1.000Min.
:-1.0
1st Qu.: 3.000
1st Qu.:1.000
1st Qu.:2.000
1st Qu.: 445.5
Median : 4.000
Median :1.000
Median :2.000
Median : 800.0
Mean: 4.839Mean:1.297Mean:1.791
Mean: 1076.9
3rd Qu.: 7.000
3rd Qu.:1.000
3rd Qu.:2.000
3rd Qu.: 1479.0
Max.
:20.000
Max.
:6.000Max.
:2.000Max.
:15727.0
NA's:26965NA's:26965NA's:26965NA's:34904m4ac24am4ac24bm4ac25m4ac26
Min.
:
0.00
Min.
:
0.0
Min.
:1.000Min.
:
0
1st Qu.:0.00
1st Qu.:0.0
1st Qu.:2.000
1st Qu.: 1030
Median :0.00
Median :0.0Median :2.000
Median : 2043
Mean
: 38.57
Mean: 129.4
Mean:1.919Mean: 2748
3rd Qu.:0.00
3rd Qu.:0.0
3rd Qu.:2.000
3rd Qu.: 3687
Max.
:8055.00
Max.
:23392.0
Max.
:2.000Max.
:24523NA's:34904NA's:34904NA's:26965NA's:36186m4ac28am4ac28bm4ac28cm4ac28d
Min.
:
0.00
Min.
:
0.0
Min.
:
0
Min.
:
0
1st Qu.:0.00
1st Qu.:0.0
1st Qu.: 4944
1st Qu.:0
Median :0.00
Median :0.0Median : 19200
Median :0
Mean: 16.21
Mean
:
426.5
Mean
: 18834
Mean: 24343rd Qu.:0.00
3rd Qu.:0.0
3rd Qu.: 25614
3rd Qu.:0Max.
:9357.00
Max.
:139785.0
Max.
:102861Max.
:72082NA's:35916NA's:35916NA's:35916NA's:35916####

8 : muc4b0 ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 3.0
Min.
:
91
1st Qu.:20.00
1st Qu.:187.0
1st Qu.: 6448
Median :38.00
Median :387.0
Median :15022
Mean:42.17
Mean:425.7
Mean:15626
3rd Qu.:64.00
3rd Qu.:638.5
3rd Qu.:24103
Max.
:96.00Max.
:973.0Max.
:32248m4b0c3Min.
:
4
1st Qu.:480
Median : 1590
Mean
: 5157
3rd Qu.: 4500
Max.
:2815072

m4b0c4Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 191.1
3rd Qu.:0.0
Max.
:80000.0###############################

9 :muc4b11diabanMin.
: 1.000
1st Qu.: 3.000
Median : 7.000
Mean: 8.207
3rd Qu.:11.000
Max.
:73.000

m4b0c5Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 148.4
3rd Qu.:0.0
Max.
:48938.0
NA's:4Vietnam VHLSS 2010 Manual (Version 1.0)

hoso
Min.
:13.0
1st Qu.:13.0
Median :14.0
Mean
:14.4
3rd Qu.:15.0
Max.
:24.0

m4b0maMin.
:1.000
1st Qu.:1.000
Median :2.000
Mean:2.602
3rd Qu.:5.000
Max.
:7.000

110

tinh
Min.
: 1.00
1st Qu.:24.00
Median :36.00
Mean:39.79
3rd Qu.:52.00
Max.
:96.00

huyen
Min.
: 4.0
1st Qu.:223.0
Median :360.0
Mean:406.8
3rd Qu.:546.0
Max.
:972.0

xa
Min.
: 148
1st Qu.: 7831
Median :13879
Mean:150543rd Qu.:21802
Max.
:32215diabanMin.
: 1.000
1st Qu.: 3.000
Median : 7.000
Mean: 8.274
3rd Qu.:11.000
Max.
:73.000

m4b11c3
Min.
:40
1st Qu.: 1008
Median : 2000
Mean
: 4115
3rd Qu.: 4000
Max.
:161000

m4b11c4
Min.
:
12
1st Qu.: 475
Median : 936
Mean: 20743rd Qu.: 1807
Max.
:89770m4b11c5
Min.
:
0.000
1st Qu.:0.000
Median :
0.000
Mean
:
6.639
3rd Qu.:0.000
Max.
:1000.000

hoso
Min.
:13.0
1st Qu.:13.0
Median :14.0
Mean
:14.4
3rd Qu.:15.0
Max.
:24.0

m4b11c6
Min.
:0
1st Qu.:0
Median :0
Mean: 1285
3rd Qu.: 700
Max.
:87770m4b11maMin.
:1.00
1st Qu.:1.00
Median :3.00
Mean
:3.38
3rd Qu.:5.00
Max.
:7.00

m4b11c7
Min.
:0
1st Qu.: 1842
Median : 4121
Mean
: 12555
3rd Qu.: 10637
Max.
:383440NA's:7393

m4b11c8
Min.
:72
1st Qu.: 2423
Median : 4790
Mean
: 97543rd Qu.: 9200
Max.
:393319####

10 : muc4b12 ###########################
tinh
huyen
xa
diabanMin.
: 1.00
Min.
: 3.0
Min.
:
91
Min.
: 1.000
1st Qu.:14.00
1st Qu.:119.0
1st Qu.: 3778
1st Qu.: 3.000
Median :25.00
Median :236.0
Median : 8461
Median : 6.000
Mean:29.27
Mean:292.5
Mean:10910Mean: 7.068Mean:14.88
3rd Qu.:40.00
3rd Qu.:420.0
3rd Qu.:17071
3rd Qu.:10.000
Max.
:96.00Max.
:973.0Max.
:32239Max.
:68.000Max.
:21.00m4b12c3Min.
: -1
1st Qu.: 20
Median : 50
Mean
: 735
3rd Qu.: 360
Max.
:80000m4b12c4Min.
:
1.0
1st Qu.:25.0
Median :
70.0
Mean
:
780.5
3rd Qu.:300.0
Max.
:114000.0
NA's
:3727

m4b12c5Min.
:
0.0
1st Qu.:0.0
Median :
0.0
Mean
:
606.2
3rd Qu.:25.0
Max.
:114000.0
NA's
:3727

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.37

m4b12maMin.
: 8.00
1st Qu.:12.00
Median :16.00

3rd Qu.:15.00
Max.
:24.00

3rd Qu.:19.00

m4b12c6
Min.
:0
1st Qu.:0
Median :106
Mean: 3315
3rd Qu.: 1410
Max.
:798447
NA's:6906

11 : muc4b13 ###########################
tinh
huyen
xa
diabanMin.
: 1.00
Min.
: 4.0
Min.
: 148
Min.
: 1.000
1st Qu.:24.00
1st Qu.:221.0
1st Qu.: 7704
1st Qu.: 3.000
Median :42.00
Median :446.0
Median :18565
Median : 6.000
Mean:44.73Mean:451.5Mean:16757Mean: 8.068Mean:28.46
3rd Qu.:67.00
3rd Qu.:664.0
3rd Qu.:24691
3rd Qu.:11.000
Max.
:96.00Max.
:973.0Max.
:32239Max.
:61.000

m4b12c7
Min.
:
5
1st Qu.:93
Median :230
Mean: 2061
3rd Qu.:885
Max.
:798447####

Vietnam VHLSS 2010 Manual (Version 1.0)

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.39m4b13maMin.
:22.00
1st Qu.:23.00
Median :28.00

3rd Qu.:15.00
Max.
:20.00

3rd Qu.:34.00

111

Max.

:38.00m4b13c3aMin.
:
1
1st Qu.: 100
Median : 500
Mean: 30633rd Qu.: 2160
Max.
:500000

m4b13c3bMin.
:1.000
1st Qu.:1.000
Median :1.000
Mean:1.201
3rd Qu.:1.000
Max.
:2.000m4b13c4
Min.
:
1
1st Qu.:50
Median :160
Mean: 2175
3rd Qu.:855
Max.
:236250NA's:77m4b13c5
Min.
:0
1st Qu.:0
Median :100
Mean: 2079
3rd Qu.:700
Max.
:236250NA's:77m4b13c6
Min.
:0
1st Qu.:780
Median :2666
Mean: 17635
3rd Qu.: 12878
Max.
:3508317
NA's:839

m4b13c7
Min.
:
9
1st Qu.:490
Median : 1586
Mean
: 13460
3rd Qu.: 7500
Max.
:3508317####

12 : muc4b14 ###########################
tinh
huyen
xa
diabanMin.
: 1.00Min.
: 16.0
Min.
: 382
Min.
: 1.00
1st Qu.:20.00
1st Qu.:199.0
1st Qu.: 6637
1st Qu.: 3.00
Median :36.00
Median :364.0
Median :14104
Median : 7.00
Mean
:40.82
Mean:409.5
Mean:15026Mean: 8.09
3rd Qu.:64.00
3rd Qu.:628.5
3rd Qu.:23785
3rd Qu.:11.00
Max.
:96.00Max.
:973.0Max.
:32239Max.
:61.00m4b14c3aMin.
:
1.0
1st Qu.:2.0
Median :4.0
Mean: 208.8
3rd Qu.: 10.0
Max.
:50000.0

m4b14c3bMin.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.867
3rd Qu.:2.000
Max.
:2.000m4b14c4Min.
:
1.0
1st Qu.:20.0
Median :45.0
Mean: 294.4
3rd Qu.: 120.0
Max.
:62500.0
NA's
:930

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.38
3rd Qu.:15.00
Max.
:20.00m4b14c5Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 244.3
3rd Qu.:50.0
Max.
:62300.0NA's:930

m4b14maMin.
:39.00
1st Qu.:41.00
Median :45.00
Mean:44.933rd Qu.:49.00
Max.
:54.00m4b14c6
Min.
:
0.0
1st Qu.:80.0
Median :297.0
Mean: 3045.6
3rd Qu.:957.2
Max.
:225000.0
NA's
:3995

m4b14c7Min.
:
5.0
1st Qu.:90.5
Median : 199.0
Mean: 1595.9
3rd Qu.: 507.0
Max.
:225000.0####

13 : muc4b15 ###########################
tinh
huyen
xa
diaban
Min.
: 1.0
Min.
: 16.0
Min.
: 382
Min.
: 1.000
1st Qu.:22.0
1st Qu.:217.0
1st Qu.: 7360
1st Qu.: 3.000
Median :36.0
Median :365.5
Median :14218
Median : 7.000
Mean
:39.7
Mean
:403.5Mean:14950Mean: 8.052
3rd Qu.:52.0
3rd Qu.:550.0
3rd Qu.:21978
3rd Qu.:11.000
Max.
:96.0
Max.
:969.0Max.
:32149Max.
:73.000

Vietnam VHLSS 2010 Manual (Version 1.0)

hoso
Min.
:13.0
1st Qu.:13.0
Median :14.0
Mean
:14.4
3rd Qu.:15.0
Max.
:24.0

m4b15ma
Min.
: 1.00
1st Qu.: 1.00
Median : 3.00
Mean
: 3.87
3rd Qu.: 8.00
Max.
:10.00112

m4b15c2Min.
: 0.00
1st Qu.: 0.00
Median : 0.00
Mean
: 41.96
3rd Qu.: 0.00
Max.
:9302.00

m4b15c3Min.
:
0.00
1st Qu.:0.00
Median :0.00
Mean: 85.33
3rd Qu.: 96.00
Max.
:5528.00
NA's
:1207

m4b15c4Min.
:
0.0
1st Qu.:0.0
Median :89.0
Mean: 201.2
3rd Qu.: 226.0
Max.
:10502.0

m4b15c5
Min.
:
4
1st Qu.:84
Median : 178
Mean
: 313
3rd Qu.: 350
Max.
:10502####

14 : muc4b16 ###########################
tinh
huyen
xa
diabanhoso
Min.
: 1.00
Min.
: 3.0
Min.
:
91
Min.
: 1.000Min.
:13.00
1st Qu.:24.00
1st Qu.:240.0
1st Qu.: 8662
1st Qu.: 3.000
1st Qu.:13.00
Median :38.00
Median :396.0
Median :15643
Median : 7.000
Median :14.00
Mean:43.36
Mean:440.9Mean:16267Mean: 8.594Mean:14.42
3rd Qu.:64.00
3rd Qu.:639.0
3rd Qu.:24103
3rd Qu.:12.000
3rd Qu.:15.00
Max.
:96.00Max.
:973.0Max.
:32239Max.
:73.000Max.
:24.00m4b16ma
m4b16c2am4b16c2bm4b16c2c
m4b16c2dMin.
: 1.00
Min.
:
-2.0
Min.
:
-2.0
Min.
:
-2
Min.
:
-2.00
1st Qu.: 3.00
1st Qu.:17.0
1st Qu.:0.0
1st Qu.:0
1st Qu.:0.00
Median : 7.00
Median : 140.0
Median :0.0Median :0Median :0.00
Mean: 14.51
Mean: 690.5
Mean
:
187.6
Mean
:
330
Mean
:
64.08
3rd Qu.: 13.00
3rd Qu.: 513.0
3rd Qu.:55.0
3rd Qu.:0
3rd Qu.:0.00
Max.
:911.00
Max.
:92447.0
Max.
:257497.0
Max.
:752401
Max.
:40023.00
m4b16c2e
m4b16c2e1
m4b16c2e2
Min.
:
2
Min.
:
0.00
Min.
:
0.000
1st Qu.: 108
1st Qu.:0.00
1st Qu.:0.000
Median : 324
Median :0.00
Median :0.000
Mean: 1272
Mean
:
4.94
Mean
:
0.325
3rd Qu.: 990
3rd Qu.:0.00
3rd Qu.:0.000
Max.
:752401
Max.
:39566.00
Max.
:3368.000####

15 : muc4b17 ###########################
tinh
huyen
xa
diabanhoso
m4b17ma
Min.
: 1.0
Min.
: 3
Min.
:
91
Min.
: 1.000Min.
:13.00Min.
:1.00
1st Qu.:25.0
1st Qu.:252
1st Qu.: 9037
1st Qu.: 4.000
1st Qu.:13.00
1st Qu.:1.00
Median :40.0
Median :421
Median :17158
Median : 7.000
Median :14.00
Median :3.00
Mean
:44.9
Mean
:457
Mean
:16839Mean: 8.833
Mean:14.43Mean:2.58
3rd Qu.:66.0
3rd Qu.:655
3rd Qu.:24538
3rd Qu.:12.000
3rd Qu.:15.00
3rd Qu.:4.00
Max.
:96.0
Max.
:972
Max.
:32215Max.
:73.000Max.
:21.00Max.
:5.00
m4b17c2
m4b17c3
m4b17c4
m4b17c5
m4b17c6
Min.
: -1
Min.
:
-1.00
Min.
:
-1.00
Min.
: -1.0Min.
:
1.0
1st Qu.: 10
1st Qu.:0.00
1st Qu.:0.00
1st Qu.:0.0
1st Qu.:40.0
Median : 48
Median :0.00
Median :0.00
Median :0.0Median :
98.0
Mean
: 105
Mean
:
32.84
Mean
:
69.39
Mean
: 11.3
Mean: 218.5
3rd Qu.: 110
3rd Qu.:15.00
3rd Qu.:2.00
3rd Qu.:0.0
3rd Qu.: 210.0
Max.
:4650
Max.
:30000.00
Max.
:15000.00
Max.
:3600.0Max.
:30000.0####

16 : muc4b21 ###########################
tinh
huyen
xa
diabanMin.
: 1.00Min.
: 16.0
Min.
: 382
Min.
: 1.000
1st Qu.:17.00
1st Qu.:164.0
1st Qu.: 5494
1st Qu.: 3.000
Median :35.00
Median :351.0
Median :13471
Median : 6.000

Vietnam VHLSS 2010 Manual (Version 1.0)

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00

113

Mean
:36.79
3rd Qu.:51.00
Max.
:96.00Mean:370.6
3rd Qu.:528.0
Max.
:973.0Mean:13790
3rd Qu.:21268
Max.
:32239m4b21ma
Min.
: 1.000
1st Qu.: 5.000
Median : 6.000
Mean: 8.401
3rd Qu.:12.000
Max.
:19.000

m4b21c3
Min.
:0
1st Qu.:20
Median :
45
Mean
:
1321
3rd Qu.:145
Max.
:3285000
NA's
:2802

Mean
: 7.695
3rd Qu.:10.000
Max.
:65.000

m4b21c4aMin.
:
0.0
1st Qu.:0.0
Median :
8.0
Mean
:
949.7
3rd Qu.:65.0
Max.
:1319000.0
NA's
:2802

Mean
:14.38
3rd Qu.:15.00
Max.
:24.00m4b21c4bMin.
:
0.0
1st Qu.:23.5
Median :1028.0Mean:
7989.8
3rd Qu.:4366.5Max.
:2315764.0
NA's
:4309

17 : muc4b22 ###########################
tinh
huyen
xa
diabanMin.
: 1.00Min.
: 16.0
Min.
: 382
Min.
: 1.000
1st Qu.:19.00
1st Qu.:172.0
1st Qu.: 5896
1st Qu.: 3.000
Median :36.00
Median :363.0
Median :14038
Median : 6.000
Mean:38.87
Mean:391.8Mean:14513Mean: 7.849
3rd Qu.:52.00
3rd Qu.:549.0
3rd Qu.:21946
3rd Qu.:11.000
Max.
:96.00Max.
:973.0Max.
:32239Max.
:65.000

m4b21c5
Min.
:0
1st Qu.:358
Median :
1092
Mean
:
6961
3rd Qu.:3250
Max.
:9801013

####

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.39
3rd Qu.:15.00
Max.
:24.00m4b22ma
Min.
: 1.000
1st Qu.: 1.000
Median : 5.000
Mean: 4.203
3rd Qu.: 5.000
Max.
:11.000

m4b22c7
m4b22c8
m4b22c9
m4b22c10a
Min.
:
0
Min.
:
0
Min.
:
0.0
Min.
:
-2.00
1st Qu.:56
1st Qu.:267
1st Qu.:0.0
1st Qu.:0.00
Median :172
Median :665
Median :17.0
Median :
0.00
Mean
:
1696
Mean
:
4915
Mean
:
140.6
Mean
:
56.36
3rd Qu.:554
3rd Qu.:1821
3rd Qu.:58.0
3rd Qu.:0.00
Max.
:3252154
Max.
:1812846
Max.
:118800.0
Max.
:201960.00
NA's
:107
m4b22c10bm4b22c10c
m4b22c10d
m4b22c10e
m4b22c10f
Min.
:
0.000
Min.
:
0.000
Min.
:
0.00
Min.
: 0.00000
Min.
:
0.00000
1st Qu.:0.000
1st Qu.:0.000
1st Qu.:0.00
1st Qu.: 0.00000
1st Qu.: 0.00000
Median :0.000
Median :0.000
Median :0.00
Median : 0.00000
Median : 0.00000
Mean
:
3.859
Mean
:
9.327
Mean
:
11.88
Mean
: 0.04808
Mean:
0.00814
3rd Qu.:0.000
3rd Qu.:0.000
3rd Qu.:0.00
3rd Qu.: 0.00000
3rd Qu.: 0.00000
Max.
:12289.000
Max.
:9500.000
Max.
:16653.00
Max.
:208.00000
Max.
:66.00000
m4b22c10g
Min.
:
0.000
1st Qu.:0.000
Median :
0.000
Mean
:
5.467
3rd Qu.:0.000
Max.
:22163.000

m4b22c10h
Min.
:
0.000
1st Qu.:0.000
Median :
0.000
Mean
:
2.435
3rd Qu.:0.000
Max.
:4725.000

m4b22c11
Min.
: 0.000
0.00
1st Qu.:0.000
Median :0.000
Mean: 5.987

m4b22c12
Min.
:
0.0

m4b22c13Min.
:

1st Qu.:Median :Mean:

1st Qu.:Median :
Mean
:

0.0
0.0
175.6

m4b22c10i
Min.
:
0.000
1st Qu.:0.000
Median :
0.000
Mean
:
1.228
3rd Qu.:0.000
Max.
:1210.000

0.0
0.0
0.0
188.5

m4b22c10j
Min.
:
0.00
1st Qu.:0.00
Median :0.00
Mean: 65.33
3rd Qu.:0.00
Max.
:4764.00

m4b22c10k
Min.
:
-2.00
1st Qu.:0.00
Median :
0.00
Mean
:
12.88
3rd Qu.:0.00
Max.
:11816.00

m4b22c14Min.
:-2.000m4b22c15
Min.
:

1st Qu.:Median :Mean:

1st Qu.:Median :Mean:

Vietnam VHLSS 2010 Manual (Version 1.0)

0.000
0.000
9.596

0.00
0.00

114

33.55
3rd Qu.:0.000
Max.
:9449.000
Max.
:106180.00

3rd Qu.:92.0
Max.
:38154.0

m4b22c16
Min.
:
0.0
1st Qu.:0.0
Median :
0.0
Mean
:
90.9
3rd Qu.:0.0
Max.
:594001.0

m4b22c17Min.
:0.0000
1st Qu.:0.0000Median :0.0000Mean:
0.2552
3rd Qu.:0.0000Max.
:1453.0000

3rd Qu.:0.0
Max.
:1467182.0

3rd Qu.:0.000
Max.
:20598.000

m4b22c18
Min.
:
-2.00
1st Qu.:0.00
Median :
22.00
Mean
:
73.44
3rd Qu.:62.00
Max.
:23026.00

m4b22c19
Min.
:
5
1st Qu.:466
Median :
1098
Mean
:
7476
3rd Qu.:3146
Max.
:6950799

18 : muc4b31 ###########################
tinh
huyen
xa
diabanMin.
: 1.00Min.
: 16.0
Min.
: 382
Min.
: 1.00
1st Qu.:34.00
1st Qu.:340.0
1st Qu.:12703
1st Qu.: 5.00
Median :44.50
Median :459.5
Median :19264
Median : 8.00
Mean
:49.28Mean:500.9Mean:18487Mean:10.37
3rd Qu.:72.00
3rd Qu.:707.8
3rd Qu.:25596
3rd Qu.:14.00
Max.
:95.00Max.
:959.0Max.
:31951Max.
:65.00m4b31c3
m4b31c4
m4b31c5
Min.
: 0.500
Min.
:
67
Min.
:
67
1st Qu.: 2.000
1st Qu.: 1719
1st Qu.: 4486
Median : 2.000
Median : 3998
Median : 10280
Mean: 3.288
Mean: 7978Mean: 24643
3rd Qu.: 4.000
3rd Qu.: 8116
3rd Qu.: 21634
Max.
:12.000
Max.
:142660Max.
:427981

3rd Qu.:

0.00

####

####

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.32
3rd Qu.:15.00
Max.
:20.00m4b31ma
Min.
:1.000
1st Qu.:1.000
Median :1.000
Mean:2.095
3rd Qu.:4.000
Max.
:5.00019 : muc4b32 ###########################
tinh
huyen
xa
diabanhoso
m4b32ma
Min.
: 1.00Min.
: 16.0
Min.
: 382
Min.
: 1.00Min.
:13.00Min.
:1.000
1st Qu.:34.00
1st Qu.:340.0
1st Qu.:12700
1st Qu.: 5.00
1st Qu.:13.00
1st Qu.:1.000
Median :44.00
Median :450.0
Median :18880
Median : 8.00
Median :14.00
Median :1.000
Mean:49.12
Mean:499.2Mean:18434Mean:10.39Mean:14.32Mean:2.075
3rd Qu.:72.00
3rd Qu.:706.5
3rd Qu.:25549
3rd Qu.:14.00
3rd Qu.:15.00
3rd Qu.:4.000
Max.
:95.00Max.
:959.0Max.
:31951Max.
:65.00Max.
:20.00Max.
:5.000m4b32c7
m4b32c8
m4b32c9am4b32c9bm4b32c9c
Min.
:
0
Min.
:
0.0
Min.
:
0.00
Min.
:0
Min.
:
0.00
1st Qu.:0
1st Qu.:29.0
1st Qu.:0.00
1st Qu.:0
1st Qu.:0.00
Median :0Median : 100.0
Median :0.00
Median :0
Median :0.00
Mean: 1678Mean: 307.9
Mean
:
81.92
Mean
:0
Mean
: 10.24
3rd Qu.:0
3rd Qu.: 220.5
3rd Qu.:0.00
3rd Qu.:0
3rd Qu.:0.00
Max.
:302258
Max.
:24001.0Max.
:10016.00
Max.
:0
Max.
:1645.00
m4b32c9d
m4b32c9e
m4b32c9f
m4b32c9g
m4b32c9h
Min.
:
0.0
Min.
:
0.0
Min.
:
0.0
Min.
:
0
Min.
:
0.00
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:0
1st Qu.:0.00
Median :0.0Median :0.0Median :0.0Median : 1140
Median :0.00
Mean: 341.5
Mean: 536.3
Mean: 146.4
Mean: 4368Mean: 45.92
3rd Qu.:0.0
3rd Qu.:0.0
3rd Qu.:0.0
3rd Qu.: 3766
3rd Qu.:0.00
Max.
:39296.0
Max.
:90240.0Max.
:7707.0Max.
:83340Max.
:8568.00
m4b32c9i
m4b32c9j
m4b32c9k
m4b32c10
m4b32c11
Min.
:0
Min.
:
0.000
Min.
:
0.0
Min.
:
0.0
Min.
:
0

Vietnam VHLSS 2010 Manual (Version 1.0)

115

1st Qu.:0
1st Qu.:0.000
1st Qu.:0.0
1st Qu.:97.5
1st Qu.: 300
Median :0
Median :0.000
Median :0.0Median : 269.0
Median : 800
Mean
:0
Mean
:
9.045
Mean
: 104.4
Mean: 1137.0
Mean: 17643rd Qu.:0
3rd Qu.:0.000
3rd Qu.:0.0
3rd Qu.: 847.0
3rd Qu.: 1300
Max.
:0
Max.
:1800.000
Max.
:4320.0Max.
:30529.0
Max.
:26250m4b32c12
m4b32c13
m4b32c14
m4b32c15
m4b32c16
Min.
: 0.00
Min.
:
0
Min.
:
0.0
Min.
:
0.00
Min.
:
0.0
1st Qu.: 0.00
1st Qu.:0
1st Qu.:0.0
1st Qu.:0.00
1st Qu.:0.0
Median : 0.00
Median :0Median :0.0Median :0.00
Median :0.0
Mean: 11.06
Mean: 2155Mean: 172.7
Mean: 23.42Mean: 392.2
3rd Qu.: 0.00
3rd Qu.:0
3rd Qu.:0.0
3rd Qu.:0.00
3rd Qu.: 180.0Max.
:1800.00
Max.
:105000
Max.
:9360.0Max.
:1000.00
Max.
:18000.0
m4b32c17
Min.
:
10
1st Qu.: 1604
Median : 3772
Mean
: 13254
3rd Qu.: 10249
Max.
:322355####

20 : muc4b41 ###########################
tinh
huyen
xa
diabanhoso
m4b41ma
Min.
: 1.00Min.
: 26.0
Min.
: 703
Min.
: 1.00Min.
:13.00Min.
: 1.0
1st Qu.:11.00
1st Qu.:100.8
1st Qu.: 3301
1st Qu.: 3.00
1st Qu.:13.00
1st Qu.:11.0
Median :20.00
Median :183.0
Median : 6208
Median : 5.00
Median :14.00
Median :11.0
Mean:31.44
Mean:313.3
Mean:11645Mean: 6.64Mean:14.33Mean:10.4
3rd Qu.:49.00
3rd Qu.:511.0
3rd Qu.:20701
3rd Qu.: 9.00
3rd Qu.:15.00
3rd Qu.:11.0
Max.
:96.00Max.
:969.0Max.
:32149Max.
:61.00Max.
:24.00Max.
:14.0
m4b41c3am4b41c3bm4b41c3c
m4b41c3d
m4b41c3e
Min.
:
0.0
Min.
:
0.0
Min.
:
0.0
Min.
:
0.0
Min.
:
0.0
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:0.0
Median :0.0Median :0.0Median :0.0Median :0.0Median :53.5
Mean: 641.8
Mean: 165.1
Mean: 110.4
Mean: 302.4
Mean: 723.8
3rd Qu.: 93.0
3rd Qu.:0.0
3rd Qu.:0.0
3rd Qu.:0.0
3rd Qu.: 700.0
Max.
:60604.0
Max.
:26664.0
Max.
:16497.0
Max.
:62088.0
Max.
:67000.0m4b41c3f
m4b41c4
Min.
: 19
Min.
:
0.0
1st Qu.: 400
1st Qu.:0.0
Median : 917
Median :0.0
Mean: 1943Mean: 812.5
3rd Qu.: 2034
3rd Qu.:0.0
Max.
:67000Max.
:67000.0####

21 : muc4b42 ###########################
tinh
huyen
xa
diaban
Min.
: 1.0
Min.
: 26
Min.
: 703
Min.
: 1.000
1st Qu.:12.0
1st Qu.:107
1st Qu.: 3439
1st Qu.: 3.000
Median :25.0
Median :231
Median : 8026
Median : 6.000
Mean
:34.1
Mean
:341
Mean
:12696Mean: 6.907
3rd Qu.:51.0
3rd Qu.:532
3rd Qu.:21378
3rd Qu.: 9.000
Max.
:96.0
Max.
:969
Max.
:32143Max.
:40.000
m4b42c1Min.
: 0.00m4b42c2Min.
:0m4b42c3
Min.
:
0.0

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.31
3rd Qu.:15.00
Max.
:24.00m4b42c4aMin.
: 0.0000

Vietnam VHLSS 2010 Manual (Version 1.0)

m4b42ma
Min.
:1.000
1st Qu.:1.000
Median :1.000
Mean:1.026
3rd Qu.:1.000
Max.
:2.000m4b42c4bMin.
: 0.0000

116

1st Qu.: 0.00
Median : 0.00
Mean
: 30.13
3rd Qu.: 0.00
Max.
:6631.00
NA's:55
m4b42c4cMin.
: 0.000
1st Qu.: 0.000
Median : 0.000
Mean: 3.081
3rd Qu.: 0.000
Max.
:3200.000
m4b42c4hMin.
: 0.0000
1st Qu.: 0.0000
Median : 0.0000
Mean: 0.5168
3rd Qu.: 0.0000
Max.
:1006.0000

1st Qu.:0
1st Qu.: 36.0
1st Qu.: 0.0000
1st Qu.: 0.0000
Median :0Median : 65.0
Median : 0.0000
Median : 0.0000
Mean
: 23
Mean
: 109.9
Mean: 0.4011
Mean: 0.1057
3rd Qu.:0
3rd Qu.: 134.0
3rd Qu.: 0.0000
3rd Qu.: 0.0000
Max.
:8673
Max.
:2133.0Max.
:683.0000
Max.
:120.0000
NA's:55
m4b42c4d
m4b42c4e
m4b42c4f
m4b42c4g
Min.
:
0.00
Min.
: 0.00000
Min.
: 0.0000Min.
: 0.0000
1st Qu.:0.00
1st Qu.: 0.00000
1st Qu.: 0.0000
1st Qu.: 0.0000
Median :0.00
Median : 0.00000
Median : 0.0000
Median : 0.0000
Mean
:
33.78
Mean
: 0.03209
Mean: 0.3256Mean: 0.8008
3rd Qu.:0.00
3rd Qu.: 0.00000
3rd Qu.: 0.0000
3rd Qu.: 0.0000
Max.
:12500.00
Max.
:68.00000
Max.
:332.0000
Max.
:265.0000
m4b42c4i
m4b42c4j
Min.
:0
Min.
:
0.000
1st Qu.:0
1st Qu.:0.000
Median :0
Median :
0.000
Mean
:0
Mean
:
3.205
3rd Qu.:0
3rd Qu.:
0.000
Max.
:0
Max.
:1466.000

m4b42c4k
Min.
:
0.000
1st Qu.:0.000
Median :
0.000
Mean
:
3.359
3rd Qu.:0.000
Max.
:1184.000

m4b42c5
Min.
:0
1st Qu.:0
Median :
0
Mean
: 11
3rd Qu.:
0
Max.
:2000

m4b42c6
Min.
: 0.00
1st Qu.: 0.00
Median : 0.00
Mean
: 34.13
3rd Qu.: 0.00
Max.
:3001.00

m4b42c7
Min.
:
0.000
1st Qu.:0.000
Median :
0.000
Mean
:
9.112
3rd Qu.:0.000
Max.
:10000.000

m4b42c8Min.
:
0.00
1st Qu.:0.00
Median :0.00
Mean: 32.47
3rd Qu.:0.00
Max.
:8891.00

m4b42c9Min.
:
0.00
1st Qu.:0.00
Median :0.00
Mean: 12.16
3rd Qu.:0.00
Max.
:3879.00

m4b42c11
Min.
: 0.000
1st Qu.: 0.000
Median : 0.000
Mean: 4.592
3rd Qu.: 0.000
Max.
:4642.000

m4b42c12
Min.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
3.26
3rd Qu.:0.00
Max.
:2809.00

m4b42c13Min.
:
0.0
1st Qu.:0.0
Median :
0.0
Mean
:
48.6
3rd Qu.:0.0
Max.
:20373.0m4b42c14Min.
:
0.0
1st Qu.:48.5
Median : 106.0
Mean: 438.9
3rd Qu.: 255.0
Max.
:31768.0

22 : muc4b51 ###########################
tinh
huyen
xa
diabanMin.
: 1.00Min.
: 16.0
Min.
: 397
Min.
: 1.000
1st Qu.:30.00
1st Qu.:296.0
1st Qu.:10954
1st Qu.: 4.000
Median :62.00
Median :610.0
Median :23371
Median : 7.000
Mean:57.59Mean:578.4
Mean:20414Mean: 9.176Mean:16.033rd Qu.:87.00
3rd Qu.:877.0
3rd Qu.:30261
3rd Qu.:13.000
Max.
:96.00Max.
:973.0Max.
:32248Max.
:69.000Max.
:23.00m4b42c10
Min.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
76.36
3rd Qu.:0.00
Max.
:13798.00####

m4b51c3
Min.
:
1
1st Qu.:20
Median :60
Mean: 1010m4b51c4aMin.
:
0.0
1st Qu.:0.0
Median :
0.0
Mean
:
954.3

m4b51c4bMin.
:0
1st Qu.:285
Median :2041
Mean: 27700

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.46

m4b51maMin.
: 3.00
1st Qu.:11.00
Median :14.00

3rd Qu.:15.00
Max.
:24.00

3rd Qu.:21.00

m4b51c5
Min.
:
13
1st Qu.:394
Median :1285
Mean: 17528

Vietnam VHLSS 2010 Manual (Version 1.0)

117

3rd Qu.: 200
Max.
:357000
NA's:566

3rd Qu.:120.0
Max.
:357000.0
NA's
:566

3rd Qu.: 10259
Max.
:3328000
NA's
:1078

3rd Qu.:5046
Max.
:3328000####

23 : muc4b52 ###########################
tinh
huyen
xa
diabanhoso
m4b52ma
Min.
: 1.00Min.
: 16.0
Min.
: 397
Min.
: 1.000Min.
:13.00Min.
:1.000
1st Qu.:27.00
1st Qu.:262.0
1st Qu.: 9439
1st Qu.: 4.000
1st Qu.:13.00
1st Qu.:1.000
Median :54.00
Median :557.0
Median :22066
Median : 7.000 Median :14.00
Median :1.000
Mean:55.57
Mean:557.6
Mean:19734Mean: 9.218Mean:14.46Mean:1.427
3rd Qu.:86.00
3rd Qu.:863.0
3rd Qu.:29839
3rd Qu.:13.000
3rd Qu.:15.00
3rd Qu.:2.000
Max.
:96.00Max.
:973.0Max.
:32248Max.
:69.000Max.
:24.00Max.
:3.000m4b52c6
m4b52c7
m4b52c8
m4b52c9am4b52c9b
Min.
:
0
Min.
:
0
Min.
:
0.0
Min.
:
0.0
Min.
:0
1st Qu.:0
1st Qu.:0
1st Qu.:21.0
1st Qu.:0.0
1st Qu.:0
Median :50
Median :0Median :61.0
Median :0.0Median :0
Mean: 1259
Mean
:
4664
Mean
: 332.2
Mean
:
53.1
Mean
:0
3rd Qu.: 342
3rd Qu.:190
3rd Qu.: 190.0
3rd Qu.:0.0
3rd Qu.:0
Max.
:150000
Max.
:2771000Max.
:46636.0
Max.
:18000.0Max.
:0m4b52c9c
m4b52c9d
m4b52c9e
m4b52c9f
m4b52c9g
Min.
: 0.0000
Min.
:
0.00
Min.
:
0.0
Min.
:
0.00
Min.
:
0
1st Qu.: 0.0000
1st Qu.:0.00
1st Qu.:0.0
1st Qu.:0.00
1st Qu.:0
Median : 0.0000
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Median :0.0Median :0.00
Median :0
Mean: 0.3477
Mean: 38.34
Mean
:
130.8
Mean
:
25.15
Mean
:
3383
3rd Qu.: 0.0000
3rd Qu.:0.00
3rd Qu.:0.0
3rd Qu.:0.00
3rd Qu.:0Max.
:700.0000
Max.
:9000.00
Max.
:106710.0
Max.
:20969.00
Max.
:1492682
m4b52c9h
m4b52c9i
m4b52c9j
m4b52c9k
m4b52c10
Min.
:
0.0
Min.
:0
Min.
: 0.0000
Min.
:
0.0
Min.
:
0.0
1st Qu.:0.0
1st Qu.:0
1st Qu.: 0.0000
1st Qu.:0.0
1st Qu.:0.0
Median :0.0Median :0
Median : 0.0000
Median :0.0Median :0.0
Mean: 34.3Mean:0
Mean: 0.9384
Mean
:
402.1
Mean
: 313.7
3rd Qu.:0.0
3rd Qu.:0
3rd Qu.: 0.0000
3rd Qu.:0.0
3rd Qu.:0.0
Max.
:41567.0
Max.
:0
Max.
:360.0000
Max.
:684532.0
Max.
:92606.0
m4b52c11
m4b52c12
m4b52c13
m4b52c14
m4b52c15
Min.
:
0.0
Min.
:
0.0
Min.
:
0.0
Min.
:
0.0
Min.
:
0
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:0
Median :0.0Median :0.0Median :0.0Median :0.0Median :0
Mean: 335.3
Mean
:
517.4
Mean
: 164.3
Mean
:
193.6
Mean
: 21843rd Qu.:0.0
3rd Qu.:62.0
3rd Qu.:0.0
3rd Qu.:0.0
3rd Qu.:0Max.
:147198.0
Max.
:176730.0
Max.
:40000.0Max.
:179449.0
Max.
:636226
m4b52c16
m4b52c17
m4b52c18
m4b52c19
Min.
:
0.0
Min.
:
0.00
Min.
:
0.0
Min.
:
2
1st Qu.:0.0
1st Qu.:0.00
1st Qu.:0.0
1st Qu.:113
Median :0.0Median :0.00
Median :0.0Median :374
Mean: 148.3
Mean
:
5.68
Mean
:
747.4
Mean
: 14934
3rd Qu.:0.0
3rd Qu.:0.00
3rd Qu.:10.0
3rd Qu.:1425
Max.
:144000.0
Max.
:5438.00
Max.
:189518.0
Max.
:3200100####

24 : muc4c1 ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:27.00
1st Qu.:281.0
1st Qu.:10417

diabanMin.
: 1.00
1st Qu.: 5.00

Vietnam VHLSS 2010 Manual (Version 1.0)

hoso
Min.
:13.00
1st Qu.:13.00

m4c1maMin.
:1.000
1st Qu.:1.000

118Median :51.00
Mean:51.67
3rd Qu.:79.00
Max.
:96.00Median :527.0
Mean:521.5
3rd Qu.:769.0
Max.
:973.0Median :21208
Mean:189533rd Qu.:27097
Max.
:32248m4c1c2Min.
: 6.00
1st Qu.:32.00
Median :47.00
Mean:44.143rd Qu.:49.00
Max.
:98.00m4c1c3Min.
: 0.30
1st Qu.:10.00
Median :12.00
Mean:10.443rd Qu.:12.00
Max.
:12.00m4c1c4Min.
:1.000
1st Qu.:1.000
Median :1.000
Mean:1.011
3rd Qu.:1.000
Max.
:2.000m4c1c8m4c1c9Min.
:1.000Min.
:40
1st Qu.:1.000
1st Qu.: 1500
Median :1.000
Median : 2900
Mean
:1.047Mean: 78843rd Qu.:1.000
3rd Qu.: 6327
Max.
:2.000Max.
:576737
NA's
:1646
NA's
:110
m4c1c13m4c1c14Min.
:1.000Min.
:
10.0
1st Qu.:1.000
1st Qu.: 212.5
Median :2.000
Median : 534.5
Mean:1.683Mean: 1509.5
3rd Qu.:2.000
3rd Qu.: 1377.8
Max.
:2.000Max.
:72323.0
NA's
:1646
NA's
:3259
m4c1c18
Min.
:
0
1st Qu.: 12992
Median : 29892
Mean: 81168
3rd Qu.: 68350
Max.
:6920845

Median : 9.00
Mean
:11.51
3rd Qu.:15.00
Max.
:91.00Median :14.00
Mean:14.49
3rd Qu.:15.00
Max.
:21.00Median :1.000
Mean:1.207
3rd Qu.:1.000
Max.
:4.000m4c1c5m4c1c6m4c1c7Min.
:2.000Min.
: 14.0Min.
:1.000
1st Qu.:2.000
1st Qu.:100.0
1st Qu.:2.000
Median :2.000
Median :100.0
Median :3.000
Mean:2.326Mean: 99.4Mean:2.675
3rd Qu.:2.000
3rd Qu.:100.0
3rd Qu.:3.000
Max.
:7.000Max.
:100.0Max.
:3.000NA's:3961
m4c1c10m4c1c11m4c1c12
Min.
:
40
Min.
:1.000Min.
: 24
1st Qu.: 14189
1st Qu.:2.000
1st Qu.: 419
Median : 31000
Median :2.000
Median : 808
Mean: 84750Mean:1.992Mean:1836
3rd Qu.: 70057
3rd Qu.:2.000
3rd Qu.:1437
Max.
:6920845Max.
:2.000
Max.
:9363
NA's
:110
NA's
:1756
NA's
:3990
m4c1c15m4c1c16m4c1c17Min.
:1.000
Min.
:
4.0
Min.
:
0
1st Qu.:2.000
1st Qu.: 201.8
1st Qu.: 13100
Median :2.000
Median : 558.0
Median : 30000
Mean:1.825Mean: 1621.3
Mean: 82996
3rd Qu.:2.000
3rd Qu.: 1607.0
3rd Qu.: 68408
Max.
:2.000Max.
:63182.0
Max.
:6920845
NA's
:3307

####

25 : muc4c2 ###########################
tinh
huyen
xa
diabanhoso
m4c2maMin.
: 1.00
Min.
: 1.0
Min.
:
4
Min.
: 1.00Min.
:13.00Min.
:1.000
1st Qu.:27.00
1st Qu.:281.0
1st Qu.:10417
1st Qu.: 5.00
1st Qu.:13.00
1st Qu.:1.000
Median :51.00
Median :527.0
Median :21208
Median : 9.00
Median :14.00
Median :1.000
Mean:51.67
Mean:521.5Mean:18953Mean:11.51Mean:14.49Mean:1.207
3rd Qu.:79.00
3rd Qu.:769.0
3rd Qu.:27097
3rd Qu.:15.00
3rd Qu.:15.00
3rd Qu.:1.000
Max.
:96.00Max.
:973.0Max.
:32248Max.
:91.00Max.
:21.00Max.
:4.000m4c2c19m4c2c20m4c2c21am4c2c21b
m4c2c21c
Min.
:
0
Min.
:
0.0
Min.
:
0.0
Min.
:
0.0
Min.
:
0.0
1st Qu.:0
1st Qu.:52.0
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:0.0
Median :0Median : 186.0
Median :67.0
Median :0.0Median :0.0
Mean: 26782Mean: 641.8
Mean
:
912.5
Mean
:
568.3
Mean
: 152.6
3rd Qu.: 5030
3rd Qu.: 479.0
3rd Qu.:500.0
3rd Qu.:0.0
3rd Qu.:0.0
Max.
:4151528
Max.
:68530.0Max.
:161688.0
Max.
:1565437.0
Max.
:21873.0
m4c2c21d
m4c2c21e
m4c2c21f
m4c2c21g
m4c2c21h
Min.
:
0.0
Min.
:
0.00
Min.
:
0.0
Min.
:
0
Min.
:
0.00

Vietnam VHLSS 2010 Manual (Version 1.0)

119

1st Qu.:0.0
Median :0.0
Mean: 1414.4
3rd Qu.: 756.5
Max.
:135668.0
m4c2c21iMin.
: 0.000
1st Qu.: 0.000
Median : 0.000
Mean: 3.226
3rd Qu.: 0.000
Max.
:8641.000
m4c2c23Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 668.8
3rd Qu.: 287.0
Max.
:113981.0
m4c2c28
Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 615.9
3rd Qu.:0.0
Max.
:261152.0
m4c2c33
Min.
:
0
1st Qu.: 1838
Median : 6500
Mean
: 46915
3rd Qu.: 24608
Max.
:5830543

1st Qu.:0.00
1st Qu.:0.0
1st Qu.:0
Median :0.00
Median :0.0Median :
0
Mean
:
43.62
Mean
:
166.2
Mean
: 1898
3rd Qu.:0.00
3rd Qu.:0.0
3rd Qu.:0Max.
:71280.00
Max.
:209140.0
Max.
:762330m4c2c21j
m4c2c21k
m4c2c22
Min.
:
0.0
Min.
:
0.0
Min.
:
0.0
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:0.0
Median :0.0Median :0.0Median :0.0
Mean: 215.2
Mean: 120.5
Mean: 121.8
3rd Qu.:0.0
3rd Qu.:0.0
3rd Qu.:0.0
Max.
:59201.0Max.
:27336.0
Max.
:24168.0
m4c2c24m4c2c25m4c2c26
Min.
:
0
Min.
:
0.0
Min.
:
0.0
1st Qu.:0
1st Qu.:0.0
1st Qu.:0.0
Median :245
Median :0.0Median :0.0
Mean: 1816
Mean
:
835.3
Mean
:
805.6
3rd Qu.: 1010
3rd Qu.:0.0
3rd Qu.:0.0
Max.
:237502Max.
:226075.0Max.
:133216.0
m4c2c29m4c2c30m4c2c31
Min.
:
0.0
Min.
:
0.00
Min.
:
0
1st Qu.:0.0
1st Qu.:0.00
1st Qu.:0
Median :0.0Median :0.00
Median :87
Mean: 1271.2
Mean: 13.91
Mean: 10433rd Qu.:388.5
3rd Qu.:0.00
3rd Qu.:524
Max.
:582149.0
Max.
:5000.00
Max.
:880765

26 : muc4d ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:26.00
1st Qu.:271.0
1st Qu.: 9646
Median :48.00
Median :493.0
Median :20260
Mean:49.74
Mean:501.7Mean:182581421
3rd Qu.:77.00
3rd Qu.:747.0
3rd Qu.:26545
Max.
:96.00Max.
:973.0Max.
:32248
Max.
:661227

1st Qu.:0.00
Median :
0.00
Mean
:
94.57
3rd Qu.:0.00
Max.
:53732.00
m4c2sttMin.
:1.000
1st Qu.:1.000
Median :1.000
Mean:1.207
3rd Qu.:1.000
Max.
:4.000m4c2c27
Min.
:
0
1st Qu.:0
Median :
0
Mean
:
7771
3rd Qu.:0Max.
:2037011
m4c2c32
Min.
:
0
1st Qu.:1871
Median :6564
Mean: 47977
3rd Qu.: 24744
Max.
:5830543####

diabanMin.
: 1.00
1st Qu.: 4.00
Median : 8.00
Mean
:10.68hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.51

m4dc2_01
Min.
:0
1st Qu.:0
Median :0
Mean:

3rd Qu.:14.00
Max.
:91.00

3rd Qu.:15.00
Max.
:24.00

3rd Qu.:m4dc2_02
Min.
:0.0
1st Qu.:0.0
Median :0.0
Mean: 977.9
3rd Qu.:0.0
Max.
:661227.0

m4dc2_03
Min.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
16.66
3rd Qu.:0.00
Max.
:66509.00

m4dc2_04
m4dc2_05
Min.
:0
Min.
:
0.00
1st Qu.:0
1st Qu.:0.00
Median :0
Median :
0.00
Mean
:0
Mean
:
39.59
3rd Qu.:0
3rd Qu.:
0.00
Max.
:0
Max.
:91240.00

m4dc2_06
Min.
:0
1st Qu.:95
Median :
567
Mean
:
3306
3rd Qu.:2550
Max.
:1112385

m4dc2_07Min.
:

m4dc2_08
Min.
:

m4dc2_09
Min.
:

0.0

0.0

0.0

0.0

m4dc2_10
Min.
:

Vietnam VHLSS 2010 Manual (Version 1.0)

m4dc2_11
Min.
:-20199.00

120

1st Qu.:0.0
Median :0.0
Mean: 1424.4
3rd Qu.: 105.5
Max.
:193345.0

1st Qu.:0.0
Median :
0.0
Mean
:
245.1
3rd Qu.:0.0
Max.
:889908.0

1st Qu.:0.0
Median :
0.0
Mean
:
51.9
3rd Qu.:0.0
Max.
:472516.0

1st Qu.:0.0
Median :
0.0
Mean
:
116.3
3rd Qu.:0.0
Max.
:207293.0

1st Qu.:0.0
Median :
0.0
Mean
:
193.5
3rd Qu.:0.0
Max.
: 54384.0

m4dc2_12
Min.
:-12000.00
1st Qu.:0.00
Median :
0.00
Mean
:
96.62
3rd Qu.:0.00
Max.
:136907.00

m4dc2_13
Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 463.8
3rd Qu.:0.0
Max.
:79642.0

m4dc2_14
Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 153.3
3rd Qu.:0.0
Max.
:37618.0

m4dc2_15
Min.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
23.84
3rd Qu.:0.00
Max.
:16010.00

m4dc2_16
Min.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
12.49
3rd Qu.:0.00
Max.
:37427.00

m4dc2_19
Min.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
55.29
3rd Qu.:0.00
Max.
:47455.00

m4dc2_20
Min.
:
0.0
1st Qu.:0.0
Median :
0.0
Mean
:
555.4
3rd Qu.:0.0
Max.
:648921.0

m4dc2_21
Min.
: NA
1st Qu.: NAMedian : NA
Mean
:NaN
3rd Qu.: NA
Max.
: NA
NA's
:9399

m4dc2_17
Min.
:0
1st Qu.:0
Median :0
Mean: 1426
3rd Qu.:0Max.
:842162m4dc2_22
Min.
: NA
1st Qu.: NAMedian : NA
Mean
:NaN
3rd Qu.: NA
Max.
: NA
NA's
:9399

m4dc2_18
Min.
:
0.0
1st Qu.:0.0
Median :
0.0
Mean
:
174.8
3rd Qu.:0.0
Max.
:543781.0
m4dc2_23
Min.
: NA
1st Qu.: NAMedian : NA
Mean
:NaN
3rd Qu.: NA
Max.
: NA
NA's
:9399

m4dc2_24
Min.
: NA
1st Qu.: NAMedian : NA
Mean
:NaN
3rd Qu.: NA
Max.
: NA
NA's
:9399

####

27 : muc5a1 ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:26.00
1st Qu.:268.0
1st Qu.: 9538
Median :46.00
Median :474.0
Median :19756
Mean:48.48Mean:489.8Mean:17885
3rd Qu.:75.00
3rd Qu.:732.0
3rd Qu.:26119
Max.
:96.00Max.
:973.0Max.
:32248m5a1c2aMin.
: -1.00
1st Qu.: 1.00
Median : 2.00
Mean
: 4.26
3rd Qu.: 5.00
Max.
:535.00
NA's:35609m5a1c2bMin.
:
0.0
1st Qu.: 35.0
Median : 70.0
Mean
: 121.5
3rd Qu.: 150.0
Max.
:8000.0NA's:12554m5a1c3aMin.
: -1.00
1st Qu.: 0.00
Median : 0.00
Mean
: 1.243rd Qu.: 0.00
Max.
:425.00
NA's:35609diabanMin.
: 1.00
1st Qu.: 4.00
Median : 8.00
Mean
:10.75
3rd Qu.:15.00
Max.
:91.0028 : muc5a2 ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:27.00
1st Qu.:278.0
1st Qu.:10126
Median :48.00
Median :495.0
Median :20302

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.52
3rd Qu.:15.00
Max.
:24.00m5a1maMin.
:101.0
1st Qu.:114.0
Median :134.0
Mean:130.1
3rd Qu.:145.0
Max.
:154.0m5a1c3bMin.
:
0.00
1st Qu.:0.00
Median :0.00
Mean: 66.32
3rd Qu.: 54.00
Max.
:8000.00
NA's:85383####diabanMin.
: 1.00
1st Qu.: 4.00
Median : 9.00

Vietnam VHLSS 2010 Manual (Version 1.0)

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00

m5a2maMin.
:101.0
1st Qu.:117.0
Median :128.0

121

Mean
:49.81
3rd Qu.:77.00
Max.
:96.00m5a2c2aMin.
: 0.10
1st Qu.: 1.00
Median : 2.00
Mean
: 5.18
3rd Qu.: 4.00
Max.
:1000.00
NA's:60124m5a2c4bMin.
: 0.0
1st Qu.: 0.0
Median : 0.0
Mean: 34.8
3rd Qu.: 10.0Max.
:6800.0
NA's:159740Mean:502.6
3rd Qu.:747.0
Max.
:973.0Mean:183133rd Qu.:26533
Max.
:32248m5a2c2bMin.
:
0.00
1st Qu.:15.00
Median :
30.00
Mean
:
83.08
3rd Qu.:70.00
Max.
:22800.00
m5a2c5aMin.
: 0.00
1st Qu.: 0.00
Median : 0.00
Mean
: 0.07
3rd Qu.: 0.00
Max.
:150.00
NA's:60124Mean:11.133rd Qu.:15.00
Max.
:91.00m5a2c3aMin.
:
0.00
1st Qu.:0.50
Median :
1.20
Mean
:
3.55
3rd Qu.:3.00
Max.
:1000.00
NA's:60124m5a2c5bMin.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
4.62
3rd Qu.:0.00
Max.
:4000.00
NA's:173244Mean:14.533rd Qu.:15.00
Max.
:24.00m5a2c3bMin.
:
0.00
1st Qu.:14.00
Median :
28.00
Mean
:
76.52
3rd Qu.:60.00
Max.
:22800.00
NA's:18518Mean:127.43rd Qu.:138.0
Max.
:154.0m5a2c4aMin.
: 0.00
1st Qu.: 0.00
Median : 0.00
Mean
: 1.56
3rd Qu.: 0.00
Max.
:220.00
NA's:60124####29 : muc5b1 ###########################
tinh
huyen
xa
diabanhoso
Min.
: 1.00
Min.
: 1.0
Min.
:
4
Min.
: 1.00Min.
:13.00
1st Qu.:30.00
1st Qu.:290.0
1st Qu.:10552
1st Qu.: 4.00
1st Qu.:13.00
Median :49.00
Median :512.0
Median :20680
Median : 8.50
Median :14.00
Mean:50.81
Mean:512.2
Mean:18643Mean:11.01Mean:14.52
3rd Qu.:79.00
3rd Qu.:760.0
3rd Qu.:26743
3rd Qu.:15.00
3rd Qu.:15.00
Max.
:96.00Max.
:973.0Max.
:32248Max.
:91.00Max.
:24.00m5b1c2
m5b1c3
m5b1c4m5b1c5
Min.
:
1.0
Min.
:
0.00
Min.
:
0.000
Min.
:
0.0000
1st Qu.: 10.0
1st Qu.:10.00
1st Qu.:0.000
1st Qu.:0.0000Median : 20.0
Median :20.00
Median :0.000
Median :0.0000Mean: 53.4
Mean
:
48.62
Mean
:
4.386
Mean
:
0.39143rd Qu.: 50.0
3rd Qu.:42.00
3rd Qu.:0.000
3rd Qu.:0.0000Max.
:11500.0Max.
:11500.00
Max.
:2500.000
Max.
:1170.0000

30 : muc5b2 ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:27.00
1st Qu.:277.0
1st Qu.:10018
Median :48.00
Median :492.0
Median :20245
Mean:49.67
Mean:501.2Mean:18282
3rd Qu.:77.00
3rd Qu.:747.0
3rd Qu.:26509
Max.
:96.00Max.
:973.0Max.
:32248m5b2c2
m5b2c3
Min.
:
0.0
Min.
:
0.00
1st Qu.:47.0
1st Qu.:0.00
Median : 100.0
Median :0.00
Mean: 352.7
Mean
:
12.22
3rd Qu.: 300.0
3rd Qu.:0.00
Max.
:150000.0
Max.
:50000.00

m5b1maMin.
:201.0
1st Qu.:213.0
Median :217.0
Mean:216.6
3rd Qu.:221.0
Max.
:228.0####diabanMin.
: 1.00
1st Qu.: 4.00
Median : 8.00
Mean
:10.85
3rd Qu.:15.00
Max.
:91.00Vietnam VHLSS 2010 Manual (Version 1.0)

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.51
3rd Qu.:15.00
Max.
:24.00m5b2maMin.
:301.0
1st Qu.:306.0
Median :310.0
Mean:312.6
3rd Qu.:319.0
Max.
:336.0122####

31 : muc5b3 ###########################
tinh
huyen
xa
diabanhoso
Min.
: 1.00
Min.
: 1.0
Min.
:
4
Min.
: 1.00Min.
:13.00
1st Qu.:26.00
1st Qu.:271.0
1st Qu.: 9646
1st Qu.: 4.00
1st Qu.:13.00
Median :48.00
Median :493.0
Median :20260
Median : 8.00
Median :14.00
Mean:49.74
Mean:501.7Mean:18258Mean:10.68Mean:14.51
3rd Qu.:77.00
3rd Qu.:747.0
3rd Qu.:26545
3rd Qu.:14.00
3rd Qu.:15.00
Max.
:96.00Max.
:973.0Max.
:32248Max.
:91.00Max.
:24.00m5b3c2_1
m5b3c2_2
m5b3c2_3
m5b3c2_4
m5b3c2_5
Min.
:
0.00
Min.
:
0.00
Min.
:
0.00
Min.
:
0.00
Min.
:
0.0
1st Qu.:0.00
1st Qu.:0.00
1st Qu.:0.00
1st Qu.:0.00
1st Qu.:0.0
Median :0.00
Median : 50.00
Median :0.00
Median :0.00
Median :
0.0
Mean
:
37.36
Mean
: 89.06
Mean: 16.14
Mean
:
82.63
Mean
: 285.3
3rd Qu.:15.00
3rd Qu.: 100.00
3rd Qu.:0.00
3rd Qu.:42.50
3rd Qu.:0.0
Max.
:120000.00
Max.
:7000.00
Max.
:4000.00
Max.
:38500.00
Max.
:60000.0m5b3c2_6
m5b3c2_7
m5b3c2_8
m5b3c2_9
Min.
:
0.0
Min.
:
0.0
Min.
:
0
Min.
:
0.0
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:500
1st Qu.:0.0
Median :0.0Median :0.0Median : 1300
Median :0.0
Mean: 457.4
Mean: 238.8
Mean: 1995Mean: 114.1
3rd Qu.: 300.0
3rd Qu.:0.0
3rd Qu.: 2500
3rd Qu.:0.0
Max.
:80000.0Max.
:30000.0Max.
:153150Max.
:74000.0####

32 : muc6 ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:26.00
1st Qu.:271.0
1st Qu.: 9646
Median :48.00
Median :493.0
Median :20260
Mean:49.74
Mean:501.7Mean:18258
3.536
3rd Qu.:77.00
3rd Qu.:747.0
3rd Qu.:26545
Max.
:96.00Max.
:973.0Max.
:32248Max.
:37.000

diabanMin.
: 1.00
1st Qu.: 4.00
Median : 8.00
Mean
:10.68hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.51m6ma_01Min.
: 0.000
1st Qu.: 2.000
Median : 2.000
Mean:

3rd Qu.:14.00
Max.
:91.00

3rd Qu.:15.00
Max.
:24.00

3rd Qu.: 2.000m6ma_02m6ma_03m6ma_04m6ma_05m6ma_06
m6ma_07Min.
: 0.000Min.
: 0.00Min.
: 0.00Min.
: 0.00
Min.
: 0.0
Min.
: 0.0
1st Qu.: 3.000
1st Qu.: 7.00
1st Qu.:12.00
1st Qu.:14.00
1st Qu.:15.0
1st Qu.:20.0
Median : 7.000
Median :12.00
Median :14.00
Median :15.00
Median :22.0
Median :25.0
Mean: 8.084
Mean:12.44Mean:15.51Mean:17.94
Mean
:20.4
Mean
:22.7
3rd Qu.:12.000
3rd Qu.:14.00
3rd Qu.:15.00
3rd Qu.:25.00
3rd Qu.:27.0
3rd Qu.:28.0
Max.
:37.000Max.
:37.00Max.
:37.00Max.
:37.00
Max.
:37.0
Max.
:37.0
NA's
:95
NA's
:241
NA's
:477
NA's
:735
NA's
:1082
NA's
:1494
m6ma_08m6ma_09m6ma_10m6ma_11m6ma_12m6ma_13
Min.
: 0
Min.
: 0.00Min.
: 0.00Min.
: 0.00Min.
: 0.00Min.
: 0.00
1st Qu.:22
1st Qu.:24.00
1st Qu.:24.00
1st Qu.:25.00
1st Qu.:25.00
1st Qu.:24.00
Median :27
Median :27.00
Median :28.00
Median :28.00
Median :30.00
Median :30.00
Mean
:24
Mean
:24.63Mean:24.11Mean:24.51Mean:23.72Mean:23.07
3rd Qu.:30
3rd Qu.:30.00
3rd Qu.:30.00
3rd Qu.:31.00
3rd Qu.:31.00
3rd Qu.:31.00
Max.
:37
Max.
:37.00Max.
:37.00Max.
:37.00Max.
:37.00Max.
:37.00
NA's
:1960
NA's
:2550
NA's
:3227
NA's
:4117
NA's
:4928
NA's
:5807
m6ma_14m6ma_15m6ma_16m6ma_17m6ma_18m6ma_19
Min.
: 0.0
Min.
: 0.00Min.
: 0.00
Min.
: 0.0
Min.
: 0.00Min.
: 0.00
1st Qu.: 0.0
1st Qu.: 0.00
1st Qu.: 0.00
1st Qu.: 0.0
1st Qu.: 0.00
1st Qu.: 0.00
Median :30.0
Median :30.00
Median :31.00
Median :31.0
Median :31.00
Median :32.00
Mean
:22.6
Mean
:22.33Mean:22.54
Mean
:22.5
Mean
:21.72Mean:21.64

Vietnam VHLSS 2010 Manual (Version 1.0)

123

3rd Qu.:32.0
Max.
:37.0
NA's
:6643
m6ma_20Min.
: 0.00
1st Qu.: 0.00
Median :32.00
Mean:22.733rd Qu.:35.00
Max.
:37.00NA's:9079
m6ma_26Min.
: 0.00
1st Qu.: 0.00
Median : 0.00
Mean
:14.00
3rd Qu.:34.75
Max.
:36.00NA's:9389
m6ma_32
Min.
: NA
1st Qu.: NAMedian : NA
Mean
:NaN
3rd Qu.: NA
Max.
: NA
NA's
:9399

3rd Qu.:32.00
3rd Qu.:32.00
3rd Qu.:32.0
3rd Qu.:34.00
3rd Qu.:34.00
Max.
:37.00Max.
:37.00
Max.
:37.0
Max.
:37.00Max.
:37.00
NA's
:7361
NA's
:7932
NA's
:8354
NA's
:8668
NA's
:8912
m6ma_21m6ma_22m6ma_23m6ma_24m6ma_25Min.
: 0.00Min.
: 0.00
Min.
: 0.0
Min.
: 0.00Min.
: 0.00
1st Qu.: 0.00
1st Qu.: 0.00
1st Qu.: 0.0
1st Qu.: 0.00
1st Qu.: 0.00
Median :33.00
Median :33.00
Median : 0.0
Median : 0.00
Median : 0.00
Mean
:22.55Mean:21.76
Mean
:17.1
Mean
:16.18Mean:16.57
3rd Qu.:35.00
3rd Qu.:35.00
3rd Qu.:35.0
3rd Qu.:35.00
3rd Qu.:35.00
Max.
:37.00Max.
:37.00
Max.
:37.0
Max.
:37.00Max.
:37.00
NA's
:9182
NA's
:9255
NA's
:9308
NA's
:9354
NA's
:9378
m6ma_27m6ma_28m6ma_29m6ma_30m6ma_31Min.
: 0.00
Min.
:0
Min.
: NA
Min.
: NA
Min.
: NA
1st Qu.: 0.00
1st Qu.:0
1st Qu.: NA
1st Qu.: NA
1st Qu.: NAMedian : 0.00
Median :0
Median : NA
Median : NA
Median : NA
Mean
: 8.75
Mean
:0
Mean
:NaN
Mean
:NaN
Mean
:NaN
3rd Qu.: 8.75
3rd Qu.:0
3rd Qu.: NA
3rd Qu.: NA
3rd Qu.: NAMax.
:35.00
Max.
:0
Max.
: NA
Max.
: NA
Max.
: NA
NA's
:9395
NA's
:9398
NA's
:9399
NA's
:9399
NA's
:9399
m6ma_33
m6ma_34m6ma_35m6ma_36m6ma_37
Min.
: NA
Min.
: NA
Min.
: NA
Min.
: NA
Min.
: NA
1st Qu.: NA
1st Qu.: NA
1st Qu.: NA
1st Qu.: NA
1st Qu.: NAMedian : NA
Median : NA
Median : NA
Median : NA
Median : NA
Mean
:NaN
Mean
:NaN
Mean
:NaN
Mean
:NaN
Mean
:NaN
3rd Qu.: NA
3rd Qu.: NA
3rd Qu.: NA
3rd Qu.: NA
3rd Qu.: NA
Max.
: NA
Max.
: NA
Max.
: NA
Max.
: NA
Max.
: NA
NA's
:9399
NA's
:9399
NA's
:9399
NA's
:9399
NA's
:9399

####

33 : muc6b ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:27.00
1st Qu.:275.0
1st Qu.: 9910
Median :48.00
Median :493.0
Median :20272
Mean:49.79Mean:502.3Mean:18275
3rd Qu.:77.00
3rd Qu.:747.0
3rd Qu.:26539
Max.
:96.00Max.
:973.0Max.
:32248m6c3
Min.
:-1.000
1st Qu.: 1.000
Median : 1.000
Mean: 1.096
3rd Qu.: 1.000
Max.
:15.000

m6c4t
Min.
:-1.000
1st Qu.: 0.000
Median : 0.000
Mean: 1.081
3rd Qu.: 0.000
Max.
:12.000

m6c4n
Min.
: -1
1st Qu.:2004
Median :2007
Mean
:2006
3rd Qu.:2008
Max.
:2010

34 : muc7 ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:26.00
1st Qu.:271.0
1st Qu.: 9646
Median :48.00
Median :493.0
Median :20260
Mean:49.74
Mean:501.7Mean:18258
1.021
3rd Qu.:77.00
3rd Qu.:747.0
3rd Qu.:26545

diabanMin.
: 1.00
1st Qu.: 4.00
Median : 9.00
Mean
:11.32
3rd Qu.:15.00
Max.
:91.00hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.543rd Qu.:15.00
Max.
:24.00

m6c5
Min.
:
0
1st Qu.:100
Median :
670
Mean
:
3813
3rd Qu.:2500
Max.
:1080000NA's:78796m6c2
Min.
: 1.00
1st Qu.:12.00
Median :22.00
Mean:18.96
3rd Qu.:28.00
Max.
:37.00

m6c6
Min.
:
-1
1st Qu.:250
Median :
600
Mean
:
2344
3rd Qu.:1750
Max.
:1200000####

diabanMin.
: 1.00
1st Qu.: 4.00
Median : 8.00
Mean
:10.68hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.51m7c1
Min.
: 0.000
1st Qu.: 1.000
Median : 1.000
Mean:

3rd Qu.:14.00

3rd Qu.:15.00

3rd Qu.: 1.000

Vietnam VHLSS 2010 Manual (Version 1.0)

124

Max.
Max.

:96.00:11.000

m7c2
Min.
: -1.00
1st Qu.: 40.00
Median : 60.00
Mean: 69.91
3rd Qu.: 84.00
Max.
:660.00
NA's
:9
m7c7
Min.
: 120
1st Qu.: 3000
Median : 4500
Mean
: 79933rd Qu.: 7200
Max.
:180000
NA's
:9156
m7c12
Min.
:
0
1st Qu.: 5366
Median : 13806
Mean: 32526
3rd Qu.: 29375
Max.
:543781
NA's
:9262
m7c16
Min.
: 0.0
1st Qu.: 0.0
Median : 0.0
Mean: 185.7
3rd Qu.: 240.0
Max.
:8400.0
m7c20
Min.
:
0
1st Qu.: 360
Median : 700
Mean: 1201
3rd Qu.: 1440
Max.
:280000

Max.

:973.0Max.

:32248Max.

:91.00Max.

:24.00

m7c3
m7c4
m7c5
m7c6
Min.
:1.000Min.
:1.000Min.
:1.000Min.
:1.000
1st Qu.:1.000
1st Qu.:2.000
1st Qu.:2.000
1st Qu.:2.000
Median :2.000
Median :3.000
Median :2.000
Median :2.000
Mean:2.099Mean:2.381Mean:2.531Mean:1.9743rd Qu.:3.000
3rd Qu.:3.000
3rd Qu.:3.000
3rd Qu.:2.000
Max.
:5.000Max.
:5.000Max.
:6.000Max.
:2.000
NA's
:9
NA's
:9
NA's
:9
NA's
:9
m7c8
m7c9
m7c10
m7c11
Min.
:
-1
Min.
:
-1
Min.
:1.000Min.
:1.000
1st Qu.:12
1st Qu.:60000
1st Qu.:2.000
1st Qu.:2.000
Median :12Median : 150000
Median :2.000
Median :2.000
Mean
: 118
Mean
: 425340
Mean:1.915Mean:1.828
3rd Qu.:23
3rd Qu.: 400000
3rd Qu.:2.000
3rd Qu.:2.000
Max.
:24000Max.
:30000000
Max.
:2.000Max.
:2.000
NA's
:9156
NA's
:9
NA's
:9
NA's
:8603
m7c13
m7c14
m7c15am7c15b
Min.
:
0.0
Min.
: 1.000
Min.
:1.000Min.
:1.000
1st Qu.:0.0
1st Qu.: 2.000
1st Qu.:1.000
1st Qu.:2.000
Median :0.0Median : 4.000
Median :1.000
Median :2.000
Mean: 396.9
Mean: 4.191
Mean:1.093Mean:1.8543rd Qu.:0.0
3rd Qu.: 6.000
3rd Qu.:1.000
3rd Qu.:2.000
Max.
:87977.0
Max.
:10.000
Max.
:2.000Max.
:2.000
NA's
:9
m7c17
m7c18
m7c19
m7c19kMin.
:1.000Min.
:1.000
Min.
:
-1.0
Min.
: -1.0
1st Qu.:1.000
1st Qu.:1.000
1st Qu.:30.0
1st Qu.: 42.0
Median :2.000
Median :1.000
Median :60.0Median : 73.0
Mean
:2.708Mean:1.059Mean: 107.3
Mean: 104.4
3rd Qu.:4.000
3rd Qu.:1.000
3rd Qu.: 124.5
3rd Qu.: 130.0
Max.
:9.000Max.
:4.000Max.
:23000.0Max.
:2538.0
NA's
:324
NA's
:324
m7c21
m7c22
m7c23
Min.
:1.000Min.
: 0.00Min.
:
0
1st Qu.:1.000
1st Qu.: 0.00
1st Qu.:420
Median :3.000
Median : 0.00
Median :906
Mean:3.232Mean: 37.03
Mean: 2027
3rd Qu.:5.000
3rd Qu.: 60.00
3rd Qu.: 2065
Max.
:6.000Max.
:900.00
Max.
:280000####

35 : muc8 ###########################
tinh
huyen
xa
Min.
: 1.00
Min.
: 1.0
Min.
:
4
1st Qu.:26.00
1st Qu.:271.0
1st Qu.: 9646
Median :48.00
Median :493.0
Median :20260
Mean:49.74
Mean:501.7Mean:18258
3rd Qu.:77.00
3rd Qu.:747.0
3rd Qu.:26545
Max.
:96.00Max.
:973.0Max.
:32248m8c1b:1.000Min.

m8c1c:1.000Min.

m8c1d:1.000Min.

diabanMin.
: 1.00
1st Qu.: 4.00
Median : 8.00
Mean
:10.68
3rd Qu.:14.00
Max.
:91.00hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.51
3rd Qu.:15.00
Max.
:24.00m8c1a
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.8733rd Qu.:2.000
Max.
:9.000m8c1e:1.000m8c21_01
Min.
:1.000m8c21_02
Min.
:1.000Min.

Vietnam VHLSS 2010 Manual (Version 1.0)

125

1st Qu.:2.000
Median :2.000
Mean:1.872
3rd Qu.:2.000
Max.
:9.000

1st Qu.:2.000
Median :2.000
Mean:1.871
3rd Qu.:2.000
Max.
:9.000

1st Qu.:2.000
Median :2.000
Mean:1.878
3rd Qu.:2.000
Max.
:2.000

1st Qu.:2.000
Median :2.000
Mean:1.8833rd Qu.:2.000
Max.
:2.000

1st Qu.:2.000
Median :2.000
Mean:1.896
3rd Qu.:2.000
Max.
:3.000

1st Qu.:2.000
Median :2.000
Mean:1.871
3rd Qu.:2.000
Max.
:3.000m8c21_03
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.959
3rd Qu.:2.000
Max.
:3.000m8c21_04
Min.
:1.00
1st Qu.:2.00
Median :2.00
Mean
:2.01
3rd Qu.:2.00
Max.
:3.00

m8c21_05
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:2.028
3rd Qu.:2.000
Max.
:3.000m8c21_06
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:2.006
3rd Qu.:2.000
Max.
:3.000m8c21_07
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.997
3rd Qu.:2.000
Max.
:3.000m8c21_08
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:2.0333rd Qu.:2.000
Max.
:3.000m8c21_09
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.945
3rd Qu.:2.000
Max.
:3.000m8c21_10
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:2.0333rd Qu.:2.000
Max.
:3.000m8c21_11
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.959
3rd Qu.:2.000
Max.
:3.000m8c21_12
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:2.0343rd Qu.:2.000
Max.
:3.000m8c21_13
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.917
3rd Qu.:2.000
Max.
:3.000m8c21_14
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.949
3rd Qu.:2.000
Max.
:3.000m8c21_15
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.997
3rd Qu.:2.000
Max.
:9.000m8c22_01
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.897
3rd Qu.:2.000
Max.
:3.000m8c22_02
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.875
3rd Qu.:2.000
Max.
:3.000m8c22_03
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.961
3rd Qu.:2.000
Max.
:3.000m8c22_04
Min.
:1.00
1st Qu.:2.00
Median :2.00
Mean
:2.01
3rd Qu.:2.00
Max.
:3.00

m8c22_05
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:2.027
3rd Qu.:2.000
Max.
:3.000m8c22_06
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:2.009
3rd Qu.:2.000
Max.
:3.000m8c22_07
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.998
3rd Qu.:2.000
Max.
:3.000m8c22_08
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:2.0333rd Qu.:2.000
Max.
:3.000m8c22_09
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.946
3rd Qu.:2.000
Max.
:3.000m8c22_10
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:2.0333rd Qu.:2.000
Max.
:3.000m8c22_11
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.965
3rd Qu.:2.000
Max.
:3.000m8c22_12
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:2.035
3rd Qu.:2.000
Max.
:3.000m8c22_13
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.895
3rd Qu.:2.000
Max.
:3.000m8c22_14
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.9343rd Qu.:2.000
Max.
:3.000m8c3
Min.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.866
3rd Qu.:2.000
Max.
:2.000m8c9
Min.
:1.000
1st Qu.:1.000
Median :2.000
Mean:1.949
3rd Qu.:2.000
Max.
:9.000NA's:1m8c11bMin.
:1.00

m8c11a:1.000Min.

m8c22_15
m8c2a
m8c2b
Min.
:1
Min.
: 1.000
Min.
: 500
1st Qu.:2
1st Qu.: 1.000
1st Qu.: 1000
Median :2
Median : 3.000
Median : 1500
Mean
:2
Mean
: 2.818
Mean:14286
3rd Qu.:2
3rd Qu.: 3.000
3rd Qu.:19500
Max.
:9
Max.
:10.000
Max.
:57000
NA's
:9388
NA's
:9392
m8c10am8c10bm8c10cMin.
: 1.000Min.
: 0.000Min.
: 0.000
1st Qu.: 5.000
1st Qu.: 4.000
1st Qu.: 1.000
Median : 6.000
Median : 6.000
Median : 6.000
Mean: 6.345
Mean: 5.735
Mean: 5.147
3rd Qu.: 7.000
3rd Qu.: 7.000
3rd Qu.: 8.000
Max.
:12.000Max.
:12.000Max.
:12.000
NA's
:7774
NA's
:7774
NA's
:7950
m8c12am8c12bm8c12cm8c13
Min.
:1.000Min.
:1.000Min.
:1.000Min.
:1.000Vietnam VHLSS 2010 Manual (Version 1.0)

126

1st Qu.:2.000
Median :2.000
Mean:2.038
3rd Qu.:2.000
Max.
:4.000NA's:1

1st Qu.:2.00
Median :2.00
Mean
:1.97
3rd Qu.:2.00
Max.
:4.00
NA's
:1

1st Qu.:2.000
Median :2.000
Mean:1.822
3rd Qu.:2.000
Max.
:9.000NA's:1

1st Qu.:2.000
Median :2.000
Mean:2.049
3rd Qu.:2.000
Max.
:4.000NA's:1

1st Qu.:2.000
Median :2.000
Mean:2.031
3rd Qu.:2.000
Max.
:4.000NA's:136 : muc8vayno ###########################
tinh
huyen
xa
diabanMin.
: 1.00Min.
: 16.0
Min.
: 382
Min.
: 1.000
1st Qu.:15.00
1st Qu.:137.0
1st Qu.: 4495
1st Qu.: 3.000
Median :38.00
Median :394.0
Median :15427
Median : 6.000
Mean:41.04
Mean:410.8Mean:15077Mean: 8.011Mean:1.086
3rd Qu.:64.00
3rd Qu.:627.5
3rd Qu.:23755
3rd Qu.:10.000
Max.
:96.00Max.
:972.0Max.
:32218Max.
:68.000
Max.
:4.000

1st Qu.:2.000
Median :2.000
Mean:2.037
3rd Qu.:2.000
Max.
:4.000
NA's
:1

####

m8c4
Min.
:1.000
1st Qu.:1.000
Median :1.000
Mean:1.576
3rd Qu.:1.000
Max.
:5.000

m8c5
Min.
:
220
1st Qu.: 6000
Median : 10000
Mean: 12319
3rd Qu.: 15000
Max.
:200000

m8c6a
Min.
: 0.0000
1st Qu.: 0.5000
Median : 0.6500
Mean: 0.7488
3rd Qu.: 0.6500
Max.
:18.0000

m8c6b
Min.
:1.000
1st Qu.:1.000
Median :1.000
Mean:1.6033rd Qu.:1.000
Max.
:9.000
NA's
:104

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.46m8ma
Min.
:1.000
1st Qu.:1.000
Median :1.000

3rd Qu.:15.00
Max.
:24.00

3rd Qu.:1.000

m8c7
Min.
:
0.000
1st Qu.:0.000
Median :
0.000
Mean
:
8.334
3rd Qu.:0.000
Max.
:2000.000

m8c8
Min.
:
0
1st Qu.: 5000
Median : 9720
Mean
: 11636
3rd Qu.: 15000
Max.
:180000####

37 : ttchung ###########################
tinh
huyen
xa
diabanMin.
: 1.00
Min.
: 1.0
Min.
:
4
Min.
: 1.00
1st Qu.:26.00
1st Qu.:271.0
1st Qu.: 9646
1st Qu.: 4.00
Median :48.00
Median :493.0
Median :20260
Median : 8.00
Mean
:49.74
Mean:501.7Mean:18258Mean:10.68
3rd Qu.:77.00
3rd Qu.:747.0
3rd Qu.:26545
3rd Qu.:14.00
Max.
:96.00Max.
:973.0Max.
:32248Max.
:91.00tsphieuMin.
:1
1st Qu.:1
Median :1
Mean:1
3rd Qu.:1
Max.
:1

ttnt
Min.
:1.000
1st Qu.:1.000
Median :2.000
Mean:1.718
3rd Qu.:2.000
Max.
:2.000ngaydt: 1.00Min.

dantocMin.
: 1.000
1st Qu.: 1.000
Median : 1.000
Mean: 2.246
3rd Qu.: 1.000
Max.
:56.000

thangdtMin.
: 6.000

phdichMin.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.948
3rd Qu.:2.000
Max.
:2.000tsnguoiMin.
: 1.000

Min.

hoso
Min.
:13.00
1st Qu.:13.00
Median :14.00
Mean:14.51
3rd Qu.:15.00
Max.
:24.00
dtv
Min.
: 1.0
1st Qu.: 6.0
Median :13.0
Mean
:16.3
3rd Qu.:22.0
Max.
:90.0

m1b1
:1.000Vietnam VHLSS 2010 Manual (Version 1.0)

quyen
Min.
:1
1st Qu.:1
Median :1
Mean:1
3rd Qu.:1
Max.
:1

dt
Min.
: 1.000
1st Qu.: 3.000
Median : 6.000
Mean: 9.694
3rd Qu.:10.000
Max.
:90.000

tsmuc1b
Min.
:1.00

127

1st Qu.: 9.00
Median :15.00
Mean:15.433rd Qu.:21.00
Max.
:31.00

1st Qu.: 7.000
Median : 9.000
Mean: 9.297
3rd Qu.:12.000
Max.
:12.000

1st Qu.: 3.000
Median : 4.000
Mean: 3.936
3rd Qu.: 5.000
Max.
:15.000

m2act
Min.
:
0
1st Qu.:0
Median : 663
Mean: 2882
3rd Qu.: 2801
Max.
:455500

m2atn
Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 140.4
3rd Qu.:0.0
Max.
:46184.0

m4atn3Min.
:
0
1st Qu.:0
Median :0
Mean: 1276
3rd Qu.:0Max.
:163145m4atn4Min.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
37.45
3rd Qu.:0.00
Max.
:26901.00

1st Qu.:2.000
Median :2.000
Mean:1.9043rd Qu.:2.000
Max.
:2.000

1st Qu.:1.00
Median :1.00
Mean
:1.36
3rd Qu.:2.00
Max.
:5.00
NA's
:8501
m4atn2Min.
:
0
1st Qu.:0
Median :0
Mean: 21633rd Qu.:706
Max.
:176610m2btn
m4atn1
Min.
: NA
Min.
:
0
1st Qu.: NA
1st Qu.:0
Median : NA
Median : 3244
Mean
:NaN
Mean
: 20376
3rd Qu.: NA
3rd Qu.: 29464
Max.
: NA
Max.
:842113NA's:9399
m4atn5m4atn6
Min.
:
0.0
Min.
:
0
1st Qu.:0.0
1st Qu.:0
Median :0.0Median :0
Mean: 237.7
Mean: 2617
3rd Qu.:0.0
3rd Qu.:0Max.
:24523.0Max.
:176552

m4atn
Min.
:
0
1st Qu.:0
Median : 12726
Mean: 26708
3rd Qu.: 36273
Max.
:935096

m4b21aMin.
:1.000
1st Qu.:1.000
Median :2.000
Mean:1.521
3rd Qu.:2.000
Max.
:2.000m4b21bm4b21tkydt
m4b0c1Min.
:1.000
Min.
:
0
Min.
:1.000Min.
:1.000
1st Qu.:2.000
1st Qu.:0
1st Qu.:1.000
1st Qu.:1.000
Median :2.000
Median :0Median :2.000
Median :1.000
Mean:1.998
Mean
:
9569
Mean
:1.996Mean:1.3333rd Qu.:2.000
3rd Qu.:4638
3rd Qu.:3.000
3rd Qu.:2.000
Max.
:2.000Max.
:13088807
Max.
:3.000Max.
:2.000NA's:4504
m4b0tnm4b1a
m4b1b
m4b11tm4b12t
Min.
:
0.0
Min.
:1.000Min.
:1.000
Min.
:
0
Min.
:
0
1st Qu.:0.0
1st Qu.:1.000
1st Qu.:2.000
1st Qu.:0
1st Qu.:0
Median :0.0Median :1.000
Median :2.000
Median :0Median :0
Mean: 183.4
Mean:1.379Mean:1.999Mean: 7464Mean: 2885
3rd Qu.:0.0
3rd Qu.:2.000
3rd Qu.:2.000
3rd Qu.: 8065
3rd Qu.: 1318
Max.
:66500.0
Max.
:2.000Max.
:2.000Max.
:393319
Max.
:798447
NA's:5839
m4b13tm4b14ttongthu_01
tongthu_02
tongthu_03
Min.
:
0
Min.
:
0.0
Min.
:
1387
Min.
:
0.0
Min.
:
0.0
1st Qu.:0
1st Qu.:0.0
1st Qu.:36020
1st Qu.:0.0
1st Qu.:0.0
Median :0Median :0.0Median :60724
Median :0.0Median :0.0
Mean: 4313Mean: 1223.7
Mean: 102523
Mean: 140.4
Mean
:
592.7
3rd Qu.:0
3rd Qu.:236.5
3rd Qu.: 104914
3rd Qu.:0.0
3rd Qu.:221.0
Max.
:3508317
Max.
:369377.0
Max.
:16728795
Max.
:46184.0
Max.
:142745.0
tongthu_04
Min.
:0
1st Qu.:0
Median : 12726
Mean: 26708
3rd Qu.: 36273
Max.
:935096
tongthu_09
Min.
:
0.0

tongthu_05
Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 183.4
3rd Qu.:0.0
Max.
:66500.0
tongthu_10
Min.
:
0.0

tongthu_06
Min.
:0
1st Qu.:0
Median :5194
Mean: 16106
3rd Qu.: 17259
Max.
:3508317
tongthu_11
Min.
:

tongthu_07
Min.
:0
1st Qu.:0
Median :
0
Mean
:
9569
3rd Qu.:4638
Max.
:13088807

0

tongthu_12
Min.
:

Vietnam VHLSS 2010 Manual (Version 1.0)

tongthu_08
Min.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
35.17
3rd Qu.:0.00
Max.
:40650.00

0tongthu_13
Min.
: -20149.0

128

1st Qu.:0.0
Median :0.0
Mean: 524.4
3rd Qu.:0.0
Max.
:485583.0

1st Qu.:0.0
Median :0.0
Mean: 724.4
3rd Qu.:0.0
Max.
:67000.0

1st Qu.:0
Median :
0
Mean
:
4981
3rd Qu.:0Max.
:3328050

1st Qu.:0
Median :0
Mean: 34604
3rd Qu.: 18136
Max.
:6920845

1st Qu.:263.5
Median :1332.0Mean:
7881.1
3rd Qu.:6198.0Max.
:1112385.0

tongthu_14
Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 474.1
3rd Qu.:0.0
Max.
:543781.0

m4b22tMin.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
35.17
3rd Qu.:0.00
Max.
:40650.00

m4b21cMin.
:
0
1st Qu.:0
Median :
0
Mean
:
6447
3rd Qu.:2376
Max.
:6950799

m4b22cMin.
:
0.000
1st Qu.:0.000
Median :
0.000
Mean
:
4.179
3rd Qu.:0.000
Max.
:4440.000

m4b31aMin.
:1.000
1st Qu.:2.000
Median :2.000
Mean:1.982
3rd Qu.:2.000
Max.
:2.000m4b31bm4b3t
m4b3c
m4b41am4b41b
Min.
:2
Min.
:
0.0
Min.
:
0.0
Min.
:1.000Min.
:2
1st Qu.:2
1st Qu.:0.0
1st Qu.:0.0
1st Qu.:2.000
1st Qu.:2
Median :2
Median :0.0Median :0.0Median :2.000
Median :2
Mean
:2
Mean
:
524.4
Mean
:
280.6
Mean
:1.776Mean:2
3rd Qu.:2
3rd Qu.:0.0
3rd Qu.:0.0
3rd Qu.:2.000
3rd Qu.:2
Max.
:2
Max.
:485583.0
Max.
:322355.0
Max.
:2.000
Max.
:2
NA's
:173
NA's
:2110
m4b4t
m4b4c
chisxkd_1
chisxkd_2
chisxkd_3
Min.
:
0.0
Min.
:
0.00
Min.
:
0
Min.
:
0
Min.
:
0
1st Qu.:0.0
1st Qu.:0.00
1st Qu.:1334
1st Qu.:0
1st Qu.:0
Median :0.0Median :0.00
Median :7890
Median :1593
Median :0
Mean: 724.4
Mean
:
98.95
Mean
: 36457
Mean
:
6426
Mean
:
6447
3rd Qu.:0.0
3rd Qu.:0.00
3rd Qu.: 22393
3rd Qu.:5888
3rd Qu.:2376
Max.
:67000.0Max.
:31768.00
Max.
:8159789
Max.
:1208990
Max.
:6950799
chisxkd_4
Min.
: 0.000
1st Qu.: 0.000
Median : 0.000
Mean: 4.179
3rd Qu.: 0.000
Max.
:4440.000

chisxkd_5
Min.
:
0.0
1st Qu.:0.0
Median :
0.0
Mean
:
280.6
3rd Qu.:0.0
Max.
:322355.0

thunhapMin.
: 1387
1st Qu.: 28282
Median : 47224
Mean: 66066
3rd Qu.: 77936
Max.
:8569006

thubq
Min.
:
34
1st Qu.:649
Median : 1064
Mean
: 1507
3rd Qu.: 1770
Max.
:238028

chikhac_1
Min.
:0
1st Qu.:0
Median :663
Mean: 2882
3rd Qu.: 2801
Max.
:455500

chikhac_2
Min.
:0
1st Qu.:365
Median :980
Mean: 2900
3rd Qu.: 2700
Max.
:260000

chikhac_3
Min.
:0
1st Qu.: 1016
Median : 1633
Mean
: 1970
3rd Qu.: 2496
Max.
:28170chikhac_4
Min.
: 89
1st Qu.: 1193
Median : 1766
Mean
: 2092
3rd Qu.: 2574
Max.
:26343chikhac_5
Min.
:
0.0
1st Qu.: 279.5
Median : 477.0
Mean: 630.9
3rd Qu.: 781.5
Max.
:13362.0

chikhac_6
Min.
:0
1st Qu.: 1570
Median : 2881
Mean
: 4625
3rd Qu.: 5228
Max.
:241600

chikhac_7
Min.
:0
1st Qu.:860
Median : 2000
Mean
: 3315
3rd Qu.: 3933
Max.
:155537

chikhac_8
Min.
:0
1st Qu.:0
Median :
0
Mean
:
5193
3rd Qu.:3000
Max.
:1092000

chikhac_9Min.
:

m4b5c1aMin.
:1.000m4b5c1b
Min.
:1

m4b5t
:

0

chisxkd_6
Min.
:
0.00
1st Qu.:0.00
Median :
0.00
Mean
:
98.95
3rd Qu.:0.00
Max.
:31768.00

Min.

chisxkd_7
Min.
:0
1st Qu.:0
Median :
0
Mean
:
3198
3rd Qu.:0Max.
:32001050Vietnam VHLSS 2010 Manual (Version 1.0)

Min.

m4b5c
:

chisxkd_8
Min.
:0
1st Qu.:0
Median :0
Mean: 20001
3rd Qu.:2890
Max.
:5830543

0129

1st Qu.: 420
Median : 906
Mean: 2027
3rd Qu.: 2065
Max.
:280000

1st Qu.:2.000
Median :2.000
Mean:1.8033rd Qu.:2.000
Max.
:2.000m4c1
Min.
:1.000
1st Qu.:1.000
Median :2.000
Mean:1.6533rd Qu.:2.000
Max.
:2.000

m4ctt
Min.
:
0
1st Qu.:0
Median :0
Mean: 35383
3rd Qu.: 18348
Max.
:6920845

m4dtn
Min.
: -20149.0
1st Qu.:263.5
Median : 1332.0
Mean: 7881.1
3rd Qu.: 6198.0
Max.
:1112385.0
m5a2c6Min.
:
0
1st Qu.: 803
Median : 1423
Mean
: 1776
3rd Qu.: 2288
Max.
:26343

1st Qu.:2
1st Qu.:0
1st Qu.:0
Median :2
Median :0Median :
0
Mean
:2
Mean
:
4981
Mean
:
3198
3rd Qu.:2
3rd Qu.:0
3rd Qu.:
0
Max.
:2
Max.
:3328050
Max.
:3200105
NA's
:1856
m4ct
m4cct
m4cc
Min.
:
0
Min.
:
0
Min.
:
0
1st Qu.:0
1st Qu.:0
1st Qu.:0
Median :0Median :0Median :0
Mean: 34604
Mean: 20453
Mean: 20001
3rd Qu.: 18136
3rd Qu.:2932
3rd Qu.:2890
Max.
:6920845
Max.
:5830543
Max.
:5830543

m5a1ctMin.
:
0
1st Qu.: 1016
Median : 1633
Mean
: 1970
3rd Qu.: 2496
Max.
:28170m5a2c7Min.
:
0.0
1st Qu.:0.0
Median : 150.0
Mean: 284.7
3rd Qu.: 474.5
Max.
:6800.0m5a1c4Min.
:
0.0
1st Qu.: 748.5
Median : 1280.0
Mean: 1606.5
3rd Qu.: 2042.5
Max.
:28170.0
m5a2c8Min.
:
0.00
1st Qu.:0.00
Median :0.00
Mean: 31.15
3rd Qu.:0.00
Max.
:4000.00

m5a1c5Min.
:
0.0
1st Qu.:0.0
Median : 166.0
Mean: 363.2
3rd Qu.: 495.0
Max.
:12812.0

m5b1c7Min.
: 0.00
1st Qu.: 0.00
Median : 0.00
Mean
: 51.82
3rd Qu.: 60.00
Max.
:2600.00

m5b1c8Min.
:
0.000
1st Qu.:0.000
Median :
0.000
Mean
:
4.623
3rd Qu.:0.000
Max.
:1386.000

m5b3ctMin.
:
0
1st Qu.: 860
Median : 2000
Mean
: 3315
3rd Qu.: 3933
Max.
:155537

m6c7
Min.
:
0
1st Qu.:0
Median :
0
Mean
:
5193
3rd Qu.:3000
Max.
:1092000

m3c1
Min.
:1.000
1st Qu.:1.000
Median :1.000
Mean:1.202
3rd Qu.:1.000
Max.
:2.000

m3ct3
Min.
:
0.0
1st Qu.:0.0
Median :0.0
Mean: 160.3
3rd Qu.: 205.0
Max.
:16160.0

m3ct
Min.
:
0
1st Qu.:365
Median :980
Mean: 2900
3rd Qu.: 2700
Max.
:260000

m3tn
Min.
:
0.0
1st Qu.:0.0
Median :
0.0
Mean
:
592.7
3rd Qu.:221.0
Max.
:142745.0

m4b1c
:

Min.

m5b2ctMin.
:
0
1st Qu.: 1570
Median : 2881
Mean
: 4625
3rd Qu.: 5228
Max.
:241600

m5b1ctMin.
:
0.0
1st Qu.: 279.5
Median : 477.0
Mean: 630.9
3rd Qu.: 781.5
Max.
:13362.0

m5b1c6Min.
:
0.0
1st Qu.: 215.0
Median : 423.0
Mean: 574.4
3rd Qu.: 730.0
Max.
:13362.0

m5b2c4Min.
:
0
1st Qu.: 1504
Median : 2810
Mean
: 4470
3rd Qu.: 5108
Max.
:161110
m3ct1
Min.
:
0
1st Qu.:0
Median :190
Mean: 1070
3rd Qu.:850
Max.
:192500
m4b15tMin.
:
0
1st Qu.:0
Median :
0
Mean
: 221
3rd Qu.: 270
Max.
:105020Vietnam VHLSS 2010 Manual (Version 1.0)

m5a2ctMin.
:
89
1st Qu.: 1193
Median : 1766
Mean
: 2092
3rd Qu.: 2574
Max.
:26343

m5b2c5Min.
:
0.0
1st Qu.:0.0
Median :
0.0
Mean
:
154.9
3rd Qu.:0.0
Max.
:120800.0
m3ct2
Min.
:
0
1st Qu.:0
Median :0
Mean: 1127
3rd Qu.:75
Max.
:246000
m4b1t
Min.
:
0
1st Qu.:0
Median :5194
Mean: 16106
3rd Qu.: 17259
Max.
:3508317

130

1st Qu.:0
Median : 1593
Mean
: 6426
3rd Qu.: 5888
Max.
:1208990####

38 : weight10 ###########################
tinh
huyen
xa
diabanMin.
: 1.00
Min.
: 1.0
Min.
:
4
Min.
: 1.00
1st Qu.:26.00
1st Qu.:271.0
1st Qu.: 9646
1st Qu.: 4.00
Median :48.00
Median :493.0
Median :20260
Median : 8.00
Mean
:49.74
Mean:501.7Mean:18258Mean:10.68
3rd Qu.:77.00
3rd Qu.:747.0
3rd Qu.:26545
3rd Qu.:14.00
Max.
:96.00Max.
:973.0Max.
:32248Max.
:91.00Vietnam VHLSS 2010 Manual (Version 1.0)

wt9
Min.
: 369
1st Qu.:1834
Median :2157
Mean
:2370
3rd Qu.:2682
Max.
:7936

131

5.3 Frequency table of categorical variables
Data check of categorical variables> # file.names: Rnames[j]> # file.list: lss2010[[j]]> # variable.labels: var.names[[j]]> # list of column numbers of categorical variables> check.list<-list()> check.list[[1]]<-c(12:14)> check.list[[2]]<-c(7,8,12,14:16)> check.list[[3]]<-c(7,8,10:12,14,15)> check.list[[4]]<-c(8:13,15:18,32,33)> check.list[[5]]<-c(9,10,15)> check.list[[6]]<-c(7:9,11,12)> check.list[[7]]<-c(7:10,16,17,20:22,27:30,36,37,40,41,46,48)> check.list[[8]]<-c(6)> check.list[[9]]<-c(6)> check.list[[10]]<-c(6)> check.list[[11]]<-c(6,8)> check.list[[12]]<-c(6,8)> check.list[[13]]<-c(6)> check.list[[14]]<-c(6)> check.list[[15]]<-c(6)> check.list[[16]]<-c(6)> check.list[[17]]<-c(6)> check.list[[18]]<-c(6)> check.list[[19]]<-c(6)> check.list[[20]]<-c(6)> check.list[[21]]<-c(6)> check.list[[22]]<-c(6)> check.list[[23]]<-c(6)> check.list[[24]]<-c(7,9,12,13,16,18,20)> check.list[[25]]<-c()> check.list[[26]]<-c()> check.list[[27]]<-c(6)> check.list[[28]]<-c(6)> check.list[[29]]<-c(6)> check.list[[30]]<-c()> check.list[[31]]<-c()> check.list[[32]]<-c()> check.list[[33]]<-c()> check.list[[34]]<-c(8:11,15,16,19:21,23,24,28,29)> check.list[[35]]<-c(6:14,16:29,31:40,43:53)> check.list[[36]]<-c(7,10)> check.list[[37]]<-c(6,8,10,16,28,29,32,34,35,57,58,61,62,85,110)> check.list[[38]]<-c()> for(j in 1:38){+ if(length(check.list[[j]])==0){ next }+ cat(c("\n\n","#### FREQUENCY OF VARIABLES IN ",j, ": ",Rnames[j],+ "###############################"),"\n\n")+ for(k in check.list[[j]]){Vietnam VHLSS 2010 Manual (Version 1.0)

132

+ variable.name<-colnames(lss2010[[j]])[k]+ variable.label<-var.names[[j]][k]+ cat(c("---",k,": ",variable.name,": ",variable.label,"------------- "))+ print(table(lss2010[[j]][k],useNA="ifany"))+ }}#### FREQUENCY OF VARIABLES IN

1 :hhexpe10 ###############################--- 12 : urban10 : Indicator that household is urban; 0 means rural ------------0
1
6750 2649--- 13 : reg8 : 8-region coding ------------1
2
3
4
5
6
7
8
1845 1365 444 978 852 651 1359 1905--- 14 : reg6 : 6-region coding ------------1
2
3
4
5
6
1992 1662 2067 651 1122 1905#### FREQUENCY OF VARIABLES IN

2 :muc1a ###############################--- 7 : m1ac2 : Sex ------------1
2
18184 18815--- 8 : m1ac3 : Relationship ------------1
2
3
4
5
6
7
9399 7489 16165
846
49 2162889--- 12 : m1ac6 : Marial status ------------12
3
45 <NA>
8641 18315 1858321
120 7744--- 14 : m1ac8 : Why has not lived household ------------123456 <NA>
891
7
13
327
85
117 35559--- 15 : m1ac9 : Place of registering for residency ------------1
2
3
4
5
35838
586
536
10
29
--- 16 : m1ac10 :
1
2
8
34
1
7
37
38
40
5
28
14
66
68
70
7
9
12
92
93
94
12
10
21

Province registering for residency ------------17
19
20
24
25
26
27
30
31
3
4
3
4
3
5
3
6
2
42
44
46
48
49
51
52
54
56
13
7
25
4
11
7
20
7
2
72
74
75
77
79
80
82
83
84
9
7
12
13
30
5
11
11
22
95
96
99 <NA>
3
18
1 36453#### FREQUENCY OF VARIABLES IN--- 7 : m1bc3 :1
2
712 509--- 8 : m1bc4 :
1
2

3 :

33
2
58
1
86
12

34
17
60
7
87
20

35
13
62
2
89
10

36
17
64
8
91
6

muc1b ###############################

Sex -------------

Being servant, home worker, lodger or house sharer? -------------

Vietnam VHLSS 2010 Manual (Version 1.0)

133

55 1166--- 10 : m1bc6 : Marital status ------------12
3
45 <NA>
863 3198
24
5
2--- 11 : m1bc7a : The highest diploma of universalised and higher education ------------0
1 2
38
9 10 1295 256 398 322 35 83
4 28--- 12 : m1bc7b : The highest diploma of vocational education ------------0
4
5
6
7
1004
80 56
61
20
--- 14 : m1bc9 : Place of registering for residency ------------1
2
3
4
5
1069
43 100
8
1--- 15 : m1bc10 : Province registering for residency ------------1
10
14
17
19
22
25
30
31
36
37
38
42
48
49
6
1
1
1
3
1
2
2
2
2
1
6
1
2
2
66
68
74
75
77
79
80
84
86
91
92 94
95
99 <NA>
3
2
5
4
1
27
2
1
2
1
2
1
3
7 1113#### FREQUENCY OF VARIABLES IN

4 :

52
4

56
3

58
2

60
2

64
3

muc2 ###############################--- 8 : m2c2a : The highest qualification - General education and college-level upwards --0
1
2
3
8
9
10
11
12 <NA>
8473 8734 8281 5351 449 1158
54
6
11 4482--- 9 : m2c2b : The highest qualification - Vocational training ------------0
4567 <NA>
29839 1008
586 1016
68 4482--- 10 : m2c3 : Which type of school ------------12
3
45 <NA>
31640
325
229
231
92 4482--- 11 : m2c4 : Does [name] go to school now? ------------1
2
3 <NA>
6912 2643 22962 4482--- 12 : m2c5 : Has [name] attended school over the past 12 months? ------------1
2 <NA>
427 22535 14037--- 13 : m2c6 : Level of education ------------0
1
2
3
4
5
6
7
8
9
10
12 <NA>
1264 3026 2352 1602
32
124
209
88
402
837
18
28 27017--- 15 : m2c8 : Which school does [name] attend? ------------1
2
34 <NA>
9254
371
177
180 27017--- 16 : m2c9 : Reduction of or exemption from tuition fees or contributions to education? ---1
2 <NA>
4310 5672 27017--- 17 : m2c10a : Reasons for reduction/exemption from tuition fees? ------------0
1
2
3
4
5
6
7
8
9 <NA>
23
585
320
4
82
428
22 2593189
64 32689--- 18 : m2c10b : Reasons for reduction/exemption from contribution? ------------0
1
2
3
4
5
6
8
9 <NA>
3152
418
300
2
34
286
27
46
45 32689--- 32 : m2c15a : Toys bought in shops ------------1
2
9 <NA>
1962 1005
2 34030--- 33 : m2c15b : Self-made toys -------------

Vietnam VHLSS 2010 Manual (Version 1.0)

134

1
447

2
2519

9 <NA>
3 34030#### FREQUENCY OF VARIABLES IN

5 :muc3a ###############################--- 9 : m3c3b : Medical establishment code ------------1
2
3
4
5
6
7
8
9
10
11
12
13 <NA>
137 4137 631 4302 3097 1003 318 630
57 3494 263 1404 173
1--- 10 : m3c4 : Reasons for [name] to visit medical establishments? ------------1
2
34 <NA>
920
706 3293 14727
1--- 15 : m3c7 : Did the household afford the medical check/treatment? ------------1
2
3 <NA>
18462
984
200
1

#### FREQUENCY OF VARIABLES IN

6 :muc3b ###############################--- 7 : m3c9 : Health insurance card in the last 12 months ------------1
222579 14420--- 8 : m3c10a : The first type -------------1
1
2
3
4
5
6
7
8
9
10 <NA>
5 2971 3394
259 2581 2245 2694
764 5158 2117
391 14420--- 9 : m3c10b : The second type ------------0
1
2
3
4
5
6
7
8
9
10 <NA>
22105
49
111
5
101
67
13
5
64
18
41 14420--- 11 : m3c12a : Out-service ------------1
2 <NA>
6419 16160 14420--- 12 : m3c12b : In-service ------------1
2
9 <NA>
2076 20502
1 14420#### FREQUENCY OF VARIABLES IN--- 7 : m4ac1a :12 <NA>
9791 23615 3593--- 8 : m4ac1b :12 <NA>
13696 19710 3593--- 9 : m4ac1c :12 <NA>
4977 28429 3593--- 10 : m4ac2 :1
2 <NA>
22163 11243 3593

7 :

muc4a ###############################

waged/salaried employment -------------

Involved in agri, fishery and farm -------------

involved bussiness, services -------------

Working or not? ---------------- 16 : m4ac4 : Industry code ------------2
3
5
6
7
8
9
10
168
650
33
6
13
63
1
559
19
20
21
22
23
24
25
26
2
42
19
54
207
31
192
60
36
38
39
41
42
43
45
46
20
31
2 1197
123
83
149
479

11
641
27
22
47
1787

12
11
28
27
49
499

13
71
29
11
50
57

14
559
30
26
51
5

Vietnam VHLSS 2010 Manual (Version 1.0)

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31
243
52
36

16
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32
67
53
15

17
58
33
51
55
61

18
22
35
55
56
716

135

58
5
75
12
94
11

59
2
77
11
95
75

60
11
78
4
96
207

61
66
79
10
97
70

62
17
80
8
98
2

63
12
81
13
99
2

64
62
82
19
110
8620

65
22
84
633
140
1338

66
68
16
40
85
86
698
184
160 <NA>
109 14836

69
14
87
14

70
4
88
5

71
27
90
13

72
14
91
8

73
8
92
38

74
17
93
29

--- 17 : m4ac5 : taken the most time-consuming job over the last 30 days ------------1
2
9 <NA>
20469 1693
1 14836--- 20 : m4ac8a : 8a.Economic types ------------123456 <NA>
12354 5573
81 1519 2178
458 14836--- 21 : m4ac8b : 8b.Official? ------------1
2 <NA>
1580
598 34821--- 22 : m4ac9 : Has [name] received salaries, wages for this job? ------------1
2 <NA>
7587 14576 14836--- 27 : m4ac13a : Signing a payroll book? ------------1
2 <NA>
3990 3597 29412--- 28 : m4ac13b : Paid leave / festive occasions? ------------1
2 <NA>
3096 4491 29412--- 29 : m4ac13c : Social insurance? ------------1
2 <NA>
2921 4666 29412--- 30 : m4ac14 : Any other jobs in the last 12 months? ------------1
2 <NA>
10034 12129 14836--- 36 : m4ac16 :
2
3
5
802
427
2
19
20
21
1
3
1
37
38
41
2
10
354
62
63
65
1
2
4
88
90
91
3
2
1

Industry code ------------6
7
8
9
10
1
17
26
3
169
22
23
24
25
26
5
49
2
17
2
42
43
45
46
47
28
23
10
88
285
66
68
71
74
75
2
9
1
3
6
92
93
94
95
96
11
11
2
19
41

11
385
27
1
49
68
77
10
97
26

12
4
28
1
50
6
78
1
98
2

13
26
29
1
52
7
79
2
99
1

14
155
31
33
55
11
81
2
110
4052

15
9
32
13
56
109
82
4
140
2183

16
17
109
7
33
35
2
9
58
60
1
2
84
85
146
36
160 <NA>
119 26965

18
1
36
4
61
11
86
30

--- 37 : m4ac17 : taken the second most time-consuming job over the last 30 days ------------1
2 <NA>
8153 1881 26965--- 40 : m4ac20 : Employer/owner? ------------123456 <NA>
8223 1349
26
187
227
22 26965--- 41 : m4ac21 : Working for wage/salary? ------------1
2 <NA>
2095 7939 26965--- 46 : m4ac25 : Any other job for wage/salary? ------------1
2 <NA>
813 9221 26965--- 48 : m4ac27 : Has received unemployment benefits, one-off severance pays, pensions, ... overt ------------1
2 <NA>
1083 26784 9132

Vietnam VHLSS 2010 Manual (Version 1.0)

136#### FREQUENCY OF VARIABLES IN

8 :muc4b0 ###############################--- 6 : m4b0ma : Code of land plot ------------1
2
3
4
5
6
7
5163 1633 871 745 3102
36
69#### FREQUENCY OF VARIABLES IN

9 :muc4b11 ###############################--- 6 : m4b11ma : Rice code ------------1
2
3
4
5
6
7
3523 1385 2736 133 4231 1321 259#### FREQUENCY OF VARIABLES IN

10 :muc4b12 ###############################--- 6 : m4b12ma : Staple food crops, non-staple food crops, and other annual crops ------------8
9
10
11
12
13
14
15
16
17
18
19
20
21
1704 473 976
37 139 1600 758 827 2083 658 175 851 1941 935#### FREQUENCY OF VARIABLES IN

11 :muc4b13 ###############################--- 6 : m4b13ma : Annual and perennial industrial crops ------------22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38
398 771 65 182 75 12
8
4 30 281 310 64 125 408 20 212 47--- 8 : m4b13c3b : Code ------------1
22406 606#### FREQUENCY OF VARIABLES IN

12 :muc4b14 ###############################--- 6 : m4b14ma : Fruit trees ------------39
40
41
42
43
44
45
46
47
48
679 142 1803 824
88
4 178 652 724 115--- 8 : m4b14c3b : Code ------------1
2
956 6251#### FREQUENCY OF VARIABLES IN

13 :

49
329

50
731

51
8

52
757

53
166

54
7

muc4b15 ###############################--- 6 : m4b15ma : Code of crop by-products ------------1
2
3
4
5
6
7
8
9
10
2672 486 1132 27078
1
14 1192 394 399#### FREQUENCY OF VARIABLES IN

14 :muc4b16 ###############################--- 6 : m4b16ma : Crop planting expense code ------------1
2
3
4
5
6
7
8
10
11
12
13
14
15
16
4908 2079 5441 2433 586 4759 4076 5020 806 2168 628 3520 737 2884 1914
94
95
96
97
98
99 910 911744
25
51 5603
15476

Vietnam VHLSS 2010 Manual (Version 1.0)1718
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91
829

92
7

93
15

137

#### FREQUENCY OF VARIABLES IN

15 :muc4b17 ###############################--- 6 : m4b17ma : Code of chemical fertilizers ------------123
454844 2543 2833 3926 978#### FREQUENCY OF VARIABLES IN

16 :muc4b21 ###############################--- 6 : m4b21ma : Livestock breeding code ------------1
2
3
4
5
6
7
8
9
10
11
12
1757 3093
53 3736 974
30 736 232 337 321 2276#### FREQUENCY OF VARIABLES IN

17 :

13
6

14
16

15
37

16
22

muc4b22 ###############################--- 6 : m4b22ma : Code of livestock breeding ------------1
2
3
4
5
6
7
8
9
10
11
2167 528442 3784 1008
31
30
16 394 107#### FREQUENCY OF VARIABLES IN--- 6 :
1
2
126
7

muc4b31 ###############################

m4b31ma : Agricultural Service code ------------34
5
2 52 13#### FREQUENCY OF VARIABLES IN--- 6 :
1
2
126
8

18 :

19 :

muc4b32 ###############################

m4b32ma : Agricultural Services expense code ------------34
5
2 50 13#### FREQUENCY OF VARIABLES IN

20 :muc4b41 ###############################--- 6 : m4b41ma : Forestry product code ------------1
2
3
4
5
6
7
8
9
10
11
17
20 21
5
1 218 41220
30 109 1952#### FREQUENCY OF VARIABLES IN--- 6 : m4b42ma :
1
2
2064
55

21 :

12
36

13
600

14
63

muc4b42 ###############################

Forestry activity code -------------#### FREQUENCY OF VARIABLES IN

22 :muc4b51 ###############################--- 6 : m4b51ma : Aquaculture code ------------3
11 12
13
14
21
22
23
1 1073 225
35 152 716
91 378Vietnam VHLSS 2010 Manual (Version 1.0)

17
18
111 1888

19
123

138

#### FREQUENCY OF VARIABLES IN--- 6 : m4b52ma :1
2
31156 855
2

23 :

muc4b52 ###############################

Aquacultural breed code -------------#### FREQUENCY OF VARIABLES IN

24 :muc4c1 ###############################--- 7 : m4c1c2 : Industry code ------------6
7
8
10
11
13
14
15
16
17
18
20
1
9
17 252 225
18 149
6 155
8
8
7
32
33
35
36
38
41
42
43
45
46
47
49
16
21
4
3
11
38
9
10
89 220 1337 311
63
64
65
66
68
71
72
73
74
75
77
79
4
3
1
5
32
1
1
2
7
11
16
2
93 94
95
96
97
98
22
1
71 150
4
2

21
2
50
22
82
6

22
4
51
1
85
20

23
21
52
5
86
24

24
25
6
43
55
56
29 453
87
88
1
1

27
1
60
1
90
7

30
2
61
13
91
2

31
67
62
1
92
16

--- 9 : m4c1c4 : HH's member owned all of the business or not ------------1
2
3961
46
--- 12 : m4c1c7 : Having business license or not ------------1
2
3
84 1136 2787--- 13 : m4c1c8 : The product of this activity is for selling/bartering/supplying services or
not ---1
2 <NA>
2251 110 1646--- 16 : m4c1c11 : HH exchanged goods and services produce by this business for other goods andser ---1
2 <NA>
17 2234 1756--- 18 : m4c1c13 : HH consumed any goods and services produced by this business for past 12 months?
----12 <NA>
748 1613 1646--- 20 : m4c1c15 : HH consumed or sold and by-products produced by this business for the past
12 mo ------------1
2
700 3307#### FREQUENCY OF VARIABLES IN

27 :muc5a1 ###############################--- 6 : m5a1ma : Consumed items ------------101 102 110 111 112 113 114 115 116 118 120 121 124 134 139 140 144 145 146 148
4333 6858 9128 4068 425 8245 3152 830 5774 6127 1189 8145 6479 8778 8102 8940 7618 4575 4999 2824
150 151 153 154
7227 6105 4430 8503#### FREQUENCY OF VARIABLES IN

28 :muc5a2 ###############################--- 6 : m5a2ma : Things has HH consumed for last 12 months ------------101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
9241 2487 1594 888 2544 3165 6284 4319 1533 8883 3633 363 5714 2665 999 2845 8934 8389 3131 2593

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139

121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 1407877 7243 3195 2097 4355 7511 1746 4721 6367 8428 3138 5538 2196 6383 8833 8086 5906 8544 7402 3137
141 142 143 144 145 146 147 148 149 150 151 152 153 154
2379 2342 2126 4857 1983 1739 1167 875 623 5338 4923 439 7030 7902#### FREQUENCY OF VARIABLES IN

29 :muc5b1 ###############################--- 6 : m5b1ma : which of the Items has your HH consumed over the last 30 days? ------------201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
3242 109 611 6734 1384
87 226 5111
16 4598 1494 254 4206 8124 9359 8323 9013 6612 2568 8949
221 222 223 224 225 226 227 228
7042 1023 502 802 1855 6384 7410 4996#### FREQUENCY OF VARIABLES IN

34 :muc7 ###############################--- 8 : m7c3 : The main material as poles(or pillars,or carrying walls of the house ------------12
3
45 <NA>
2667 4299 1303 107447
9--- 9 : m7c4 : The main material as roofing of the house ------------12
3
45 <NA>
1644 3038 4241 420
47
9--- 10 : m7c5 : The main meterial as walls or surounding of the house ------------123456 <NA>
198 6770 1166 266 473 517
9--- 11 : m7c6 : Does your household pay rents? ------------1
2 <NA>
243 9147
9--- 15 : m7c10 : Does HH have any other land plots or houses/flats? ------------1
2 <NA>
796 8594
9--- 16 : m7c11 : Does HH receive rents from those residential land lost or house ------------1
2 <NA>
137 659 8603--- 19 : m7c14 : The main drinking water supply of HH ------------1
2
3
4
5
6
7
8
9
10
2245 106 2256 1936 353 505 326
93 1193 386--- 20 : m7c15a : Do HH treat driking water by boiling ------------1
28524 875--- 21 : m7c15b : Do HH treat driking water by a filter or chemicals ------------1
21370 8029--- 23 : m7c17 : Type of toilet ------------1
2
3
4
5
6
9
4322 431 1380 1001 1470 794
1--- 24 : m7c18 : Main source of lighting? ------------1
2
3
49075 120 177
27--- 28 : m7c21 : How has HH disposed garbage? ------------1
2
3
4
5
6
3004 411 1469 528 3886 101--- 29 : m7c22 : Money paid for daily-life waste in the past 12 months ------------0
4
7
8
10
12
15
16
18
20
21
22
24
25
26
28
30
32
6390
2
1
5
20
25
11
4
21
22
1
2 79
8
2
8
35
5
36
40
42
44
45
48
50
52
53
54
55
56
60
62
64
65
66
67

Vietnam VHLSS 2010 Manual (Version 1.0)

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2
70

35
1
72

140

108
74
1
135
1
210
3
500
3

30
75
2
138
1
216
28
516
1

7
76
2
140
3
220
3
540
1

1
80
17
142
2
240
158
600
5

2
84
105
144
117
250
12
720
1

108
85
4
145
2
260
15
840
1

23
88
2
150
21
264
1
900
1

#### FREQUENCY OF VARIABLES IN

2
90
26
156
19
270
2

1
92
2
160
8
280
3

35 :

19
94
1
164
1
288
11

1
96
239
168
29
300
10

3
98
1
170
1
324
1

326
100
33
180
309
325
3

1
108
49
185
3
350
1

2
110
2
186
2
360
24

3
112
1
190
5
372
3

4
120
534
192
44
400
2

1
126
5
195
8
420
3

10
130
2
200
13
432
1

183
132
1
204
2
480
3

muc8 ###############################--- 6 : m8c1a : HH classified as a poor of the commune/ward in the following y2006? ------------1
2
91204 8193
2--- 7 : m8c1b : HH classified as a poor of the commune/ward in the following y2007? ------------1
2
91211 8187
1--- 8 : m8c1c : HH classified as a poor of the commune/ward in the following y2008? ------------1
2
91223 8175
1--- 9 : m8c1d : HH classified as a poor of the commune/ward in the following y2009? ------------1
21142 8257--- 10 : m8c1e : HH classified as a poor of the commune/ward in the following y2010? ------------1
2
1098 8301--- 11 : m8c21_01 : Support in purchasing health insurance cards 2009 ------------1
2
31037 8301
61--- 12 : m8c21_02 : Reduction of and exemption from costs of medical checks/treament for the poor
20 ------------1
2
31281 8045
73--- 13 : m8c21_03 : reduction of and exemption from tuition fees for the poor 2009 ------------1
2
3
512 8759 128--- 14 : m8c21_04 : Policy-based scholarships 2009 ------------1
2
3
119 9063 217--- 16 : m8c21_06 : Support in housing and residential land for poor households 2009 ------------1
2
3
133 9072 194--- 17 : m8c21_07 : Support in cleaning/improving daily-life water supplies for poor households
2009 ------------1
2
3
223 8980 196--- 18 : m8c21_08 : Providing productive land for poor ethnic minorities households 2009------------1
2
3
7 9075 317--- 19 : m8c21_09 : Extension services in agriculture, forestry and fisheries 2009 ------------1
2
3
763 8389 247--- 20 : m8c21_10 : Support in migrating abroad for employment 2009 ------------1
2
3

Vietnam VHLSS 2010 Manual (Version 1.0)

141

11 9068 320--- 21 : m8c21_11 : Food aid 2009 ------------1
2
3
532 8721 146--- 22 :m8c21_12 :Subsidized petroleum/kerosene for fishing boat(s)/vessel(s) 2009------------1
2
3
16 9043 340--- 23 : m8c21_13 : Preferential credit for the poor 2009 ------------1
2
3
919 8340 140--- 24 : m8c21_14 : Support in machinery, production inputs 2009 ------------1
2
3
684 8514 201--- 25 : m8c21_15 : others 2009 ------------123
9
269 8891 238
1--- 26 : m8c22_01 : Support in purchasing health insurance cards 2010 ------------1
2
31033 8304 62--- 27 : m8c22_02 : Reduction of and exemption from costs of medical checks/treament for the poor
20 ------------1
2
31247 8079 73--- 28 : m8c22_03 : reduction of and exemption from tuition fees for the poor 2010 ------------1
2
3
496 8778 125--- 29 : m8c22_04 : Policy-based scholarships 2010 ------------1
2
3
116 9072 211--- 31 : m8c22_06 : Support in housing and residential land for poor households 2010 ------------1
2
3
118 9081 200--- 32 : m8c22_07 : Support in cleaning/improving daily-life water supplies for poor households
2010 ------------1
2
3
218 8986 195--- 33 : m8c22_08 : Providing productive land for poor ethnic minorities households 2010------------1
2
3
6 9078 315--- 34 : m8c22_09 : Extension services in agriculture, forestry and fisheries 2010 ------------1
2
3
756 8395 248--- 35 : m8c22_10 : Support in migrating abroad for employment 2010 ------------1
2
3
9 9075 315--- 36 : m8c22_11 : Food aid 2010 ------------1
2
3
483 8766 150--- 37 :m8c22_12 :Subsidized petroleum/kerosene for fishing boat(s)/vessel(s) 2010------------1
2
3
10 9048 341--- 38 : m8c22_13 : Preferential credit for the poor 2010 ------------1
2
3

Vietnam VHLSS 2010 Manual (Version 1.0)

1421124 8137 138--- 39 : m8c22_14 : Support in machinery, production inputs 2010 ------------1
2
3
819 8380 200--- 40 : m8c22_15 : others 2010 ------------1239247 8913 238
1--- 43 : m8c3 : Borrowed from or remained to preferential credit schemes for the poor in 2010------------1
21258 8141--- 44 : m8c9 : Compared with 2006, has HH member's life been improved? ------------12
3
4
9 <NA>
2851 4898 1045 580
24
1--- 45 : m8c10a : The first reason why life is worse ------------1
2
3
4
5
6
7
8
9
10
11
12 <NA>113
39 29
74 427 214 405
69
1634
14 191 7774--- 46 : m8c10b : The second reason why life is worse ------------0
1
2
3
4
5
6
7
8
9
10
11
12 <NA>
176
80 90
35
63 133 300 402 152842
13 131 7774--- 47 : m8c10c : The third reason why life is worse ------------0
1
2
3
4
5
6
7
8
9
10
11
12 <NA>
348
65 68
34
41
62 225 236 154
14
46
11 145 7950--- 48 : m8c11a : consumtion of food over the last 30 days ------------1
2
34 <NA>
440 8218 686
541--- 49 : m8c11b : consumtion of foodstuff over the last 30 days ------------1
2
34 <NA>
1079 7580 678
61
1--- 50 : m8c12a : comsumtion of electricity over the last 30 days ------------12
3
4
9 <NA>
2257 6721 280 136
4
1--- 51 : m8c12b : comsumtion of water over the last 30 days ------------1
2
34 <NA>
402 8278 574 144
1--- 52 : m8c12c : comsumtion of housing over the last 30 days ------------1
2
34 <NA>
581 8173 419 225
1--- 53 : m8c13 : comsumtion of clothing and footwear over the last 30 days ------------1
2
34 <NA>
514 8187 535 162
1#### FREQUENCY OF VARIABLES IN

36 :muc8vayno ###############################--- 7 : m8c4 : Which preferential credit scheme has your household borrowed from/remained indeb------------1
2
3
4
5
1111
16 43 10295--- 10 : m8c6b : Time unit ------------12
3
4
9 <NA>
971
46 28 217
1 104#### FREQUENCY OF VARIABLES IN

37 :ttchung ###############################

Vietnam VHLSS 2010 Manual (Version 1.0)

143--- 6 : quyen : Income/Income & Expenditure ------------1
9399--- 8 : ttnt : Urban/Rural ------------1
22649 6750--- 10 : phdich : Interpretation ------------1
2
488 8911--- 16 : m1b1 : Is there any a servant, home worker, lodger or house sharer? ------------1
2
898 8501--- 28 : m4b21a : Raised livestock in past 12 month? ------------1
24504 4895--- 29 : m4b21b : Was the damage caused by natural disaster, pest diseases,...? ------------1
2 <NA>
10 4885 4504--- 32 : m4b0c1 : Used or managed land for agri&forestry or water surface aquaculture------------1
2
6270 3129--- 34 : m4b1a : Harvested any products from planting activities in past 12 month? ------------1
25839 3560--- 35 : m4b1b : Was the damage caused by natural disaster, pest diseases,...? ------------1
2 <NA>
3 3557 5839--- 57 : m4b31a : Agricul. services in past 12 months? ------------1
2
173 9226--- 58 : m4b31b : Was the damage caused by natural disaster, pest diseases,...? ------------2 <NA>9226 173--- 61 : m4b41a : Revenue from forestry activities? ------------1
22110 7289--- 62 : m4b41b : Was the damage caused by natural disaster, pest diseases,...? ------------2 <NA>7289 2110--- 85 : m4b5c1b : Was the damage caused by natural disaster, pest diseases,...? ------------1
2 <NA>
3 7540 1856--- 110 : m3c1 : Has anyone in your HH visited medical establishment... ------------1
27501 1898

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6. Household Summary Data File of TTCHUNG
6.1 Estimated mean value of each numerical variable in TTCHUNG.
> d<-lss2010[[37]]> t<-apply(d[,1:118],2,function(x) weighted.mean(x,d$wt))> t2<-var.names[37][[1]][1:118]> t3<-data.frame(variable=names(t),value=round(t,2),label=t2,row.names=NULL)> t3variable

value

label

1

tinh

50.42

Province2

huyen

512.36

District3xa

18625.54

Commune4diaban

11.61

Enumerator area

5

hoso

14.56

Household code

6

quyen

1.00

Income/Income & Expenditure7

tsphieu

1.00

8

ttnt

1.69

Urban/Rural

9

dantoc

1.94

Household head's ethnicity

10phdich

1.97

Interpretation

11

dtv

17.64

Surveyor's ID code

12

dt

10.13

Team leader' ID code

13

ngaydt15.40

Date of survey

14thangdt

9.28

Month of survey

15

tsnguoi

3.87

Hosehold size

16

m1b1

1.90

Is there any a servant, home worker, lodger or house sharer?

17

tsmuc1bNA

Total number of home worker

18

m2act

3256.61

Total Quest11k And Quest 14

19

m2atn

114.74

2TN. C 駭 g c ｩ u 12 v ｵ 13 (q.xanh)

20

m2btn

NA

Total Quest 12 and Quest 13

21

m4atn123352.91

Total of Q11-section 4A

22

m4atn22819.00

Total of Q12a and 12b-section 4A

23

m4atn31219.14

Total of Q23-section 4A

24

m4atn445.76

Total of Q24a and 24b section 4A

25

m4atn5203.31

Total of Q26 section 4A

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145

26

m4atn62968.05

Total of Q28 section 4A

27

m4atn

30608.17

Total income from wages

28

m4b21a

1.56

Raised livestock in past 12 month?

29

m4b21bNA

Was the damage caused by natural disaster, pest diseases,...?

30

m4b21t10187.55

Total of question 5 from line 1 to 18

31

kydt

1.99

Ky dieu tra32

m4b0c1

1.37

Used or managed land for agri&forestry or water surface aquaculture

33

m4b0tn183.74

Total of Q5-section 4B0

34

m4b1a

1.42

Harvested any products from planting activities in past 12 month?

35

m4b1b

NA

Was the damage caused by natural disaster, pest diseases,...?

36

m4b11t7091.34

Total of Q8 section 4B1.1

37

m4b12t2664.81

Total of Q7 section 4B1.2

38

m4b13t3951.61

Total of Q7 section 4B1.3

39

m4b14t1171.96

Total of Q7 section 4B1.4

40

tongthu_01 110420.86

Total of household revenue

41

tongthu_02

114.74

Income from subsidies,scholarship42

tongthu_03

623.36

Income from health subsidies

43

tongthu_04

30608.17

Income from wage

44

tongthu_05

183.74

Revenue from renting out agricultural and forestry land and water surface

45

tongthu_06

15087.20

Revenue from crop

46

tongthu_07

10187.55

Revenue from husbandry

47

tongthu_08

32.20

Revenue from hunting, trapping and domestication

48

tongthu_09

507.72

Revenue from agricultural services

49

tongthu_10

559.75

Revenue from forestry

50

tongthu_114253.12

Revenue from aquaculture

51

tongthu_12

38391.41

Other income

52

tongthu_13

9140.97

Other revenues included in incomes

53

tongthu_14

730.93

Revenues from renting out house(s) and residential land54

m4b22t32.20

55

m4b21c6955.18

Total of quest 19 from line 1 to 10

56

m4b22c

3.33

Quest 19 line 1157

m4b31a1.98

Agricul. services in past 12 months?

58

m4b31bNA

Was the damage caused by natural disaster, pest diseases,...?

59

m4b3t

507.72

Total revenue from Agri Services

60

m4b3c

267.37

Total expense on Agri Services

61

m4b41a1.82

Revenue from forestry activities?

Question 5

Vietnam VHLSS 2010 Manual (Version 1.0)

line 19

146

62

m4b41bNA

Was the damage caused by natural disaster, pest diseases,...?

63

m4b4t

559.75

Total revenue from Forestry

64

m4b4c

82.15

Total expense on Forestry

65

chisxkd_1

38100.54

Expenditure on business66

chisxkd_2

6016.90

Expenditure on crops

67

chisxkd_36955.18

Expenditure on livestock68

chisxkd_4

3.33

Expenditure on hunting, trapping..

69

chisxkd_5

267.37

Expenditure on agricultural services

70

chisxkd_6

82.15

Expenditure on forestry

71

chisxkd_7

2677.02

Expenditure on aquaculture72

chisxkd_822098.59

Expenditure on non-farm business73

thunhap

72320.32

Total Income

74

thubq

1675.63

income per capita per month75

chikhac_1

3256.61

Expenditure on education

76

chikhac_2

2947.56

Expenditure on health77

chikhac_3

2034.69

Expenditure on foods and drinks during holidays

78

chikhac_4

2184.11

Daily expenditure on foods and drinks

79

chikhac_5

677.00Daily expenditure on non-food

80chikhac_6

5026.68

Yearly Non-food expenditure81

chikhac_7

3446.31

Other expenditure considered as consumption

82

chikhac_8

5439.14

Expenditures on durables over the past 12 month83

chikhac_9

2381.36 Recurrent expenditures on housing, electricity, water,and daily life waste

84

m4b5c1a

1.82

Aquatic activities in past 12 months?

85

m4b5c1bNA

Was the damage caused by natural disaster, pest diseases,...?

86

m4b5t

4253.12

Total revenue from Aquaculture

87

m4b5c

2677.02

Total expense on Aquaculture

88

m4c1

1.65

Non-farm activities?

89

m4ctt

39045.43

Total revenue from non-farm

90

m4ct

38391.41

Total revenue belongs to household

91

m4cct

22441.41

Total expense on non-farm

92

m4cc

22098.59

Total expense on non-farm allocated for HH

93

m4dtn

9140.97

Income from other sources

94

m5a1ct2034.69

Total of Q4 and Q5 section 5A1

95

m5a1c41699.08

Total of Q2B section 5A1

96

m5a1c5335.61

Total of Q3B section 5A1

97

m5a2ct2184.11

Total of Q2B from code 101 to 154 section 5A2

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147

98

m5a2c6

1889.46

Total of 3B from code 101 to code 154 section 5A2

99

m5a2c7261.81

Total of 4B from code 101 to code 154 section 5A2

100

m5a2c832.83

Total of 5B from code 101 to code 154 section 5A2101

m5b1ct677.00Total of Q2 section 5B1

102

m5b1c6626.56

Total of Q3 section 5B1

103

m5b1c745.70

Total of Q4 section 5B1

104

m5b1c8

4.73

Total of Q5 section 5B1

105

m5b2ct5026.68

Total of Q4 and Q5 section 5B2

106

m5b2c44858.27

Total of Q2 section 5B2

107

m5b2c5168.41

Total of Q3 section 5B2

108

m5b3ct3446.31

Total of Q2 section 5B3

109

m6c7

5439.14

Total of Q5 section 6

110

m3c1

1.21

Has anyone in your HH visited medical establishment...

111

m3ct1

1110.71

Total of Q5 section 3

112

m3ct2

1097.99

Total of Q6 section 3

113

m3ct3

166.47

Total of Q11 section 3

114

m3ct

2947.56

healthcare expenditures

115

m3tn

623.36

Total of Q15 section 3116

m4b15t207.48

Total of Q5 section 4B1.5

117

m4b1t

15087.20

Total revenues from crops

118

m4b1c

6016.90

Total cost of crops

Vietnam VHLSS 2010 Manual (Version 1.0)

148

6.2 Operational definition of variables of TTCHUNG

Data file TTCHUNG is the household-level summary data, which derived from various data files.
The next table compiled by the author shows the operational definitions of each variable.
If “yes” in the last column, the definition described in the fourth column hold for the data set provided.

No

Description

1

Variable
nametinhOperational definition

Data file

Confirmed
from data

2

huyen

District3

xa

Commune4diabanEnumerator area

5

hoso

Household code

6

quyen

Income/Income & Expenditure7

tsphieu

Questionnaire

8

ttnt

Urban/Rural

9

dantocHousehold head's ethnicity

10phdichInterpretation

11

dtv

Surveyor's ID code

12dtTeam leader' ID code

13

ngaydtSurveyed date

14

thangdt

Surveyed month15

tsnguoi

Hosehold size

16

m1b1

Having domestic
labourers?

17

tsmuc1b

Number of domestic help or migrantlabourers

18

m2act

Sum of questions 11k and 14 in Section
2: Education= sum (m2c11k + m2c14)

muc2

Yes

19

m2atn

Sum of questions 12 and 13 in Section
2: Education (Green questionnaire)= sum (m2c12 + m2c13)

muc2

Yes

20

m2btn

Sum of questions 12 and 13 in Section
2: Education (Yellow questionnaire)21

m4atn1

Total of Q11-section 4A

22

m4atn2

Total of Q12 a,b-section 4A

23

m4atn3

Total of Q23-section 4A

24

m4atn4

Total of Q24a,b-section 4A

25

m4atn5

Total of Q26-section 4A

26

m4atn6

Total of Q28a,b,c,d,e-section 4A

27

m4atn

Total income from wages, including
bonus, subsidy= sum of m4ac11, m4ac12a, m4ac12b,m4ac23, m4ac24a, m4ac24b, m4ac26,
m4ac28a, m4ac28b, m4ac28c, m4ac28d,
m4ac28e

muc4a

Yes

Provincehelp

ormigrant

Vietnam VHLSS 2010 Manual (Version 1.0)

149

28

m4b21aRaised livestock in past 12 month?

29

m4b21bDue to dissater affecting to production

30

m4b21t31

kydt

4B21T. Sum of Q5, from rows 1 to 18(revenue from livestocks)
Surveyed period32

m4b0c1

Used or managed farm land, forestry
land or aquaculture surface water overthe last 12 months

33

m4b0tn4BOTN. Sum of Qestion 5

34

m4b1a

Harvested any products from cultivation
over the last 12 months?

35

m4b1b

Any impacts of natural disasters,diseases, etc. which have caused loss
in production

36

m4b11t37

m4b12t38= sum of m4b21c5 with m4b21ma <=18

muc4b21Yes= sum of m4b0c5

muc4b0Yes

4B11T. Sum of Question 8= sum of m4b11c8

muc4b11Yes

4B12T. Sum of Question 7= sum of m4b12c7

muc4b12Yes

m4b13t

4B13T. Sum of Question 7= sum of m4b13c7

muc4b13Yes

39

m4b14t

4B14T. Sum of Question 7= sum of m4b14c7

muc4b14Yes

40

tongthu_01

Total of household REVENUE= sum of tongthu_02 to tongthu_14 (41-53)

Yes

41

tongthu_02

Income from subsidies,scholarship=m2atn (19)

Yes

42

tongthu_03

Income from health subsidies=m3tn (115)

Yes

43

tongthu_04

Income from wage

=m4atn (27)

Yes

44

tongthu_05

revenue from crops=m4b0tn (33)

Yes

45

tongthu_06

Revenue from livestock=m4b1t (117)

Yes

46

tongthu_07

Revenue from Agricultural Services=m4b21t (30)

Yes

47

tongthu_08

Revenue from hunting, trapping=m4b22t (54)

Yes

48

tongthu_09

Revenue from forestry=m4b3t (59)

Yes

49

tongthu_10

Revenue from aquaculture=m4b4t (63)

Yes

50

tongthu_11

Revenue from non-farm business=m4b5t (86)

Yes

51

tongthu_12

Other income=m4ct (90)

Yes

52

tongthu_13=m4dtn (93)

Yes

53

tongthu_14

Other money received, notconsidered as income
Income from house and land rentingout=m7c12

muc7

Yes

54

m4b22t= m4b21c5 with m4b21ma=19

muc4b21

Yes

55

m4b21c= m4b22c19 with m4b22ma<=10

muc4b22

Yes

56

m4b22c= m4b22c19 with m4b22ma=11

muc4b22

Yes

57

m4b31a

4B22T. Sum of Q5, row 19 (revenue
from hunting)
4B21C. Sum of Q19, from rows 1 to 10(cost of husbandry)
4B22C. Sum of Q19, row 11 (cost of
hunting)owned machines, equipment and tools
for agricultural services over the last 12
months?

58

m4b31bnatural disasters anddamaged production

59

m4b3t

4B3T. Sum of Q5 (revenue fromagricultural services)

epidemics…

== sum of m4b31c5

Vietnam VHLSS 2010 Manual (Version 1.0)

muc4b32

Yes

150

60

m4b3c

4B3C. Sum of Q17 (cost of agricultural
services)= sum of m4b32c17

muc4b32

Yes

61

m4b41aearnedrevenues
fromplanting/management/protection/attend
ing of forests, breeding forest trees,62

m4b41b63

m4b4t

natural disasters, epidemics, …
damaged production?
4B4T. Sum of Q3f (revenue fromforestry)= sum of m4b41c3f

muc4b41

Yes

64

m4b4c

4B4C. Sum of Q14 (cost of forestry)= sum of m4b42c14

muc4b42Yes

65chisxkd_1

Expenditure on business(TOTAL COST)= sum of chisxkd_2 to chisxkd_8

Yes

66

chisxkd_2

Expenditure on crops=m4b1c (118)

Yes

67

chisxkd_3

Expenditure on livestock=m4b21c (55)

Yes

68

chisxkd_4

Expenditure on agricultural services=m4b22c (56)

Yes

69

chisxkd_5

Expenditure on hunting, trapping..

=m4b3c (60)

Yes

70

chisxkd_6

Expenditure on forestry=m4b4c (64)

Yes

71

chisxkd_7

Expenditure on aquaculture=m4b5c (87)

Yes

72

chisxkd_8

Expenditure on non-farm business=m4cc (92)

Yes

73

thunhap(Yearly) Income= tongthu_01 (40) – chisxkd_1 (65)

Yes

74

thubq

(Yearly) Income per capita

75

chikhac_1

Expenditure on education=m2act (18)

Yes

76

chikhac_2

Expenditure on health=m3ct (114)

Yes

77

chikhac_3

Expenditure on holiday food=m5a1ct (94)

Yes

78

chikhac_4

Expenditure on daily food=m5a2ct (97)

Yes

79

chikhac_5

Expenditure on daily non-food=m5b1ct (101)

Yes

80

chikhac_6

Expenditure on yearly non-food=m5b2ct (105)

Yes

81

chikhac_7

Expenditure on other=m5b3ct (108)

Yes

82

chikhac_8

Expenditure on durables=m6c7 (109)83

chikhac_9

Expenditure on housing= sum (m7c7 + m7c13 + m7c16 + m7c20 +m7c22)

muc7

Yes

84

m4b5c1a85

m4b5c1b86

m4b5t= sum of m4b51c5

muc4b51

Yes

87

m4b5c

= sum of m4b52c19

uc4b52

Yes

88

m4c1

household kept, bred fish, shrimps orother aquatic products;
natural disasters, epidemics, …
damaged production?
4B5T. Sum of Q5 (revenue fromaquaculture)
4b5c. Sum for Q19 (costs ofaquaculture)
any activities of your own production
and business, non-agricultural, forestry
and aquaculture services; processing ofagricultural, forestry and aquatic
products over the past 12 months?

89

m4ctt

90

m4ct

= sum of m4c1c18

muc4c1

Yes

91

m4cct

4CTT. Total revenue from activities(sum of Q17)
4CT. Total revenue from activities
divided by households (sum of Q18)
4CCT. Total cost of activities (sum of
Q32)

Vietnam VHLSS 2010 Manual (Version 1.0)

Yes

151

92

m4cc

4CC. Total revenue from activities
divided by households (sum of Q33)
4DTN. Sum of Q2 items (otherrevenues)= sum of m4c2c33

muc4c2

Yes

93

m4dtn

= sum of m4dc2_01, m4dc2_06, andm4dc2_11 to m4dc2_20

muc4d

Yes

94

m5a1ct

5A1CT. Sum (Q4-5)= m5a1c4 (95) + m5a1c5 (96)95

m5a1c4

4. Sum of Q2B (Codes from 101-154)= sum of m5a1c2b

muc5a1

Yes

96

m5a1c5

5. Sum of Q 3B (Codes from 101-154)= sum of m5a1c3b

muc5a1

Yes

97

m5a2ct5a2ct. Sum for question 2b (Codes from101-154)98

m5a2c6

6.Sum for Q3b (Codes from 101-154)= m5a2c6 (98) + m5a2c7 (99) +m5a2c8 (100)= sum of m5a2c2b= sum of m5a2c3b

muc5a2
muc5a2

Yes
Yes

99

m5a2c7

7.Sum for Q4b (Codes from 101-154)= sum of m5a2c4b

muc5a2Yes

100

m5a2c88.Sum for Q5b (Codes from 101-154)= sum of m5a2c5b

muc5a2Yes101

m5b1ct5b1ct. Sum for Q2 (Codes from 201228)

102
103

m5b1c6m5b1c7

6. Sum for Q3 (Codes 201-228)
7.Sum for Q4 (Codes 201-228)= m5b1c6 (102) + m5b1c7 (103) +m5b1c8 (104)= sum of m5b1c2= sum of m5b1c3= sum of m5b1c4

muc5b1
muc5b1
muc5b1

Yes
Yes
Yes

104

m5b1c88.Sum for Q5 (Codes 201-228)= sum of m5b1c5

muc5b1Yes

105

m5b2ct5b2ct. Sum (Q4-5)= m5b2c4 (106) + m5b2c5 (107)106

m5b2c4

4.Sum for Q 2= sum of m5b2c2

muc5b2Yes

107

m5b2c5

5. Sum for Q 3= sum of m5b2c3

muc5b2Yes

108

m5b3ct5b3ct . Sum for question 2= sum (m5b3c2_1 to m5b3c2_9)

muc5b3

Yes

109

m6c7

7. Sum for question 5, Section 6= sum of m6c5

muc6b

110

m3c1

householdvisitedmedicalestablishments or had home visits byphysicians for check-ups and treatment
over the last 12 months? Section 3

111
112

m3ct1
m3ct2

3ct1. Sum for Q5, Section 33ct2. Sum for Q6, Section 3

113

m3ct3

3ct3. Sum for Q11, Section 3

114

m3ct
m3tn

= sum (m3c5b + m3c6b) +sum (m3c11 + m3c13 + m3c14)= sum of m3c15

muc3a
muc3b
muc3b

Yes

115

3ct. Healthcare expenditures (3ct1 +3ct2 + 3ct3 + Q13 + Q14)
3tn. Sum for Q15

116

m4b15t

4B15T. Sum of Q5, Section 4= sum of m4b15c5

muc4b15

Yes

117

m4b1t

4B1T. Total revenues from crop
production(4B11T+4B12T+4B13T+4B14T+4B15T)= m4b11t (36) + m4b12t (37) + m4b13t (38)+ m4b14t (39) + m4b15t (116)

118

m4b1c

Total costs of crop production (Sum of
Q2e)= sum of m4b16c2e

Vietnam VHLSS 2010 Manual (Version 1.0)

Yes

Yes

Yes

Yes

Yes
Yes

muc4b16Yes152

6.3 R scripts for verifying the contents of TTCHUNG


Consistency check of INCOME-related variables in ttchung

REVENUE-related variables# 37 ttchung> d<-lss2010[[37]]> dim(d)[1] 9399 121################################## Education subsidies

No.41 = 19
> table(d$tongthu_02==d$m2atn)
TRUE
9399

# 4 muc2

Education> df<-lss2010[[04]]> dim(df)[1] 36999

38# m2c12: funds received from organizations that provide aid in education (12M)# m2c13: values of scholarships and rewards received (12M)> t<-tapply(df$m2c12+df$m2c13,df$ID,sum,na.rm=T)> length(t)[1] 9399

No.19> table(abs(d$m2atn-t)<=2,useNA="ifany")
TRUE
9399

Vietnam VHLSS 2010 Manual (Version 1.0)

153################################## Health subsidies

No.42 = 115> table(d$tongthu_03==d$m3tn)
TRUE
9399

# 6 muc3b

Health> df<-lss2010[[06]]> dim(df)[1] 36999

19# m3c15: aid received in cash and kind for members who are sick/injured/contracts a
disease (12M)> t<-tapply(df$m3c15,df$ID,sum,na.rm=T)> length(t)[1] 9399

No.115> table(abs(d$m3tn-t)<1,useNA="ifany")
TRUE
9399

################################## WageNo.43 = 27
> table(d$tongthu_04==d$m4atn)
TRUE
9399

# 7 muc4a

Wage

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> df<-lss2010[[07]]> dim(df)[1] 36999

57> colnames(df)[1] "tinh""matv""m4ac1a"[8] "m4ac1b" "m4ac1c" "m4ac2""m4ac3a" "m4ac3m" "m4ac3""m4ac4c"[15] "m4ac4m" "m4ac4""m4ac6"[22] "m4ac9""huyen""xa""m4ac5""diaban" "hoso""m4ac7""m4ac8a" "m4ac8b""m4ac10" "m4ac11" "m4ac12a" "m4ac12b" "m4ac13a" "m4ac13b"[29] "m4ac13c" "m4ac14" "m4ac15a" "m4ac15m" "m4ac15" "m4ac16c" "m4ac16m"[36] "m4ac16" "m4ac17" "m4ac18" "m4ac19" "m4ac20" "m4ac21" "m4ac22"[43] "m4ac23" "m4ac24a" "m4ac24b" "m4ac25" "m4ac26" "m4ac27" "m4ac28a"[50] "m4ac28b" "m4ac28c" "m4ac28d" "m4ac28e" "ID""wt"

"eaid"[57] "PID"# Collapsed df by ID# Generated function CollapseBy> CollapseBy<-function(df,hhidno,colno){+ y<-data.frame(id=unique(df[,hhidno]),row.names=NULL)+ for(j in colno){+ t<-aggregate(df[,j],list(df[,hhidno]),sum,na.rm=T)+ colnames(t)<-c("id",colnames(df)[j])+ y<-merge(y,t,by="id",all.x=T)+ }+ return (y)+ }> hh.wage<-CollapseBy(df,54,c(24:26,43:45,47,49:53))> dim(hh.wage)[1] 9399

13> head(hh.wage)
id m4ac11 m4ac12a m4ac12b m4ac23 m4ac24a m4ac24b m4ac26
1 ID01001000041213 73716

2835

1890

0

0

0

0

2 ID01001000041214 159870

2855

0

0

0

0

0

3 ID01001000041215 148469

7614

1904

0

0

0

0

4 ID01001000072213 79965

4760

1904

0

0

0

0

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5 ID01001000072215 56712

18904

11342

0

0

0

0

6 ID01001000072220 102065

12285

14742

0

0

0

0

m4ac28a m4ac28b m4ac28c m4ac28d m4ac28e
1

0

0

0

0

0

2

0

0

63948

0

0

3

0

0 105071

0

0

4

0

0

53691

0

0

5

0

0

22685

0

0

6

0

0

21641

0

0

> hh.wage$wage<-rowSums(hh.wage[,-1])> head(hh.wage)
id m4ac11 m4ac12a m4ac12b m4ac23 m4ac24a m4ac24b m4ac26
1 ID01001000041213 73716

2835

1890

0

0

0

0

2 ID01001000041214 159870

2855

0

0

0

0

0

3 ID01001000041215 148469

7614

1904

0

0

0

0

4 ID01001000072213 79965

4760

1904

0

0

0

0

5 ID01001000072215 56712

18904

11342

0

0

0

0

6 ID01001000072220 102065

12285

14742

0

0

0

0

m4ac28a m4ac28b m4ac28c m4ac28d m4ac28e

wage

1

0

0

0

0

0 78441

2

0

0

63948

0

0 226673

30

0 105071

00 263058

4

0

0

53691

0

0 140320

5

0

0

22685

0

0 109643

6

0

0

21641

0

0 150733

No.27> table(abs(d$m4atn - hh.wage$wage)<=4)
TRUE
9399

#################################### Renting agricultural land
No.44 = 33
> table(d$tongthu_05==d$m4b0tn)
TRUE

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9399
# 8 muc4b0 farm land
# m4b05c: amount obtained from land rental> CollapseBy<-function(df,hhidno,colno){+ y<-data.frame(unique(df[,hhidno]),row.names=NULL)+ colnames(y)<-colnames(df)[hhidno]+ for(j in colno){+ t<-aggregate(df[,j],list(df[,hhidno]),sum,na.rm=T)+ colnames(t)<-c(colnames(df)[hhidno],colnames(df)[j])+ y<-merge(y,t,by=colnames(df)[hhidno],all.x=T)+ }+ return (y)+ }> df<-lss2010[[08]]> hh.landrent<-CollapseBy(df,10,9)> dim(hh.landrent)[1] 6269
2> head(hh.landrent[hh.landrent$m4b0c5>0,])
ID m4b0c5
28 ID01017004841115
993
36 ID01018005531413
136
37 ID01018005531415
142
38 ID01018005531419
181
55 ID01250089800213
425
95 ID01273098050914
5420
No.33
> d<-merge(d,hh.landrent,by="ID",all.x=T)> d[is.na(d)]<-0> table(abs(d$m4b0tn-d$m4b0c5)<2)
TRUE
9399

################################# Revenue from crop
No.45 = 117> table(d$tongthu_06==d$m4b1t)
TRUE
9399
No.117 = sum of 36:39,116> table(abs(d$m4b1t-(d$m4b11t+d$m4b12t+d$m4b13t+d$m4b14t+d$m4b15t))<=2)

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TRUE
9399

No
Data file9
muc4b1110
muc4b1211
muc4b1312
muc4b1413
muc4b15
Total

Variable of revenue
m4b11c8
m4b12c7
m4b13c7
m4b14c7
m4b15c5

Variable at hh level
hh4B11T
hh4B12T
hh4B13T
hh4B14T
hh4B15T
hh4B1T

Variable in ttchungm4b11tm4b12tm4b13tm4b14tm4b15tm4b1tRemarks:
According to the Users’ Manual of VHLSS 2006, m4b11t is the sum of m4b11c8 with ricecode (m4b11ma) = 5, 6 and 7 within hh.

> df<-data.frame(ID=lss2010[[37]][,"ID"])> dim(df)[1] 93991> d<-lss2010[[9]] # rice
> dd<-subset(d,ID=="ID01004001480614")> dim(dd)[1] 3 15
> dd
tinh huyen xa diaban hoso m4b11ma m4b11c3 m4b11c4 m4b11c5 m4b11c6 m4b11c7
1
1
4 148
6 14
1
2160
1100
0
0
NA
2
1
4 148
6 14
5
4320
2100
0
0
NA
3
1
4 148
6 14
3
2160
1000
0
0
NA
m4b11c8
ID wt
eaid
1
6238 ID01004001480614 4088 010040014806
2 11909 ID01004001480614 4088 010040014806
35671 ID01004001480614 4088 010040014806> d<-subset(d,m4b11ma=5|m4b11ma=6|m4b11ma=7)> d<-subset(d,m4b11ma==5|m4b11ma==6|m4b11ma==7)> dd<-subset(d,ID=="ID01004001480614")> dim(dd)[1] 1 15
> dd
tinh huyen xa diaban hoso m4b11ma m4b11c3 m4b11c4 m4b11c5 m4b11c6 m4b11c7
2
1
4 148
6 14
5
4320
2100
0
0
NA
m4b11c8
ID wt
eaid
2 11909 ID01004001480614 4088 010040014806> t<-aggregate(d$m4b11c8,list(d$ID),sum,na.rm=T)

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> colnames(t)<-c("ID","hh4B11T")> df<-merge(df,t,by="ID",all.x=T)> d<-lss2010[[10]]> t<-aggregate(d$m4b12c7,list(d$ID),sum,na.rm=T)> colnames(t)<-c("ID","hh4B12T")> df<-merge(df,t,by="ID",all.x=T)> d<-lss2010[[11]]> t<-aggregate(d$m4b13c7,list(d$ID),sum,na.rm=T)> colnames(t)<-c("ID","hh4B13T")> df<-merge(df,t,by="ID",all.x=T)> d<-lss2010[[12]]> t<-aggregate(d$ m4b14c7,list(d$ID),sum,na.rm=T)> colnames(t)<-c("ID","hh4B14T")> df<-merge(df,t,by="ID",all.x=T)> d<-lss2010[[13]]> t<-aggregate(d$ m4b15c5,list(d$ID),sum,na.rm=T)> colnames(t)<-c("ID","hh4B15T")> df<-merge(df,t,by="ID",all.x=T)> dim(df)[1] 9399
6> df[is.na(df)]<-0> df$hh4B1T<-rowSums(df[,-1])> head(df[df$hh4B11T>0,])ID hh4B11T hh4B12T hh4B13T hh4B14T hh4B15T hh4B1T
53 ID01004001480614 11909
0000 11909
54 ID01004001480615
2801
21035
662
0
0 24498
148 ID01016003821013
8821
11640
680
369
350 21860
149 ID01016003821014
1915
0
0
0
0 1915150 ID01016003821015
6292
372
0
135
136 6935
154 ID01016004061913
2238
669
506
0
0 3413# Appended d$m4b1t from ttchung> d<-lss2010[[37]]> table(d$ID==df$ID)
TRUE
9399
> df$m4b1t<-d$m4b1t> head(df[df$hh4B11T>0,])ID hh4B11T hh4B12T hh4B13T hh4B14T hh4B15T hh4B1T m4b1t
53 ID01004001480614 11909
0000 11909 11909
54 ID01004001480615
2801
21035
662
0
0 24498 24499
148 ID01016003821013
8821
11640
680
369
350 21860 21861
149 ID01016003821014
1915
0
0
0
0 1915 1915
150 ID01016003821015
6292
372
0
135
136 6935 6935
154 ID01016004061913
2238
669
506
0
0 3413 3412

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> table(df$hh4B1T==df$m4b1t)
FALSE TRUE
2198 7201> table(abs(df$hh4B1T-df$m4b1t)<=5)
TRUE
9399
> hhcrop<-df###################################################### Revenue from livestock
No.46 = 30
> table(d$tongthu_07==d$m4b21t)
TRUE
9399
# 16 muc4b21 Livestock> df<-lss2010[[16]]> dim(df)[1] 12967
13> head(df)tinh huyen xa diaban hoso m4b21ma m4b21c3 m4b21c4a m4b21c4b m4b21c5
1
1
16 382
10 13
5
210
125
7088 11908
2
1
16 382
10 13
1
3200
3200
76208 76208
3
1
16 382
10 15
5
10
0
NA
587
4
1
16 397
2 14
5
40
0
NA
2269
5
1
16 397
2 14
12
50
0
NA
95
6
1
16 397
2 19
15
50
50
4725
4725
ID wt
eaid
1 ID01016003821013 4425 010160038210
2 ID01016003821013 4425 010160038210
3 ID01016003821015 4425 010160038210
4 ID01016003970214 4581 010160039702
5 ID01016003970214 4581 010160039702
6 ID01016003970219 4581 010160039702> df<-subset(df,m4b21ma<=18)> dim(df)[1] 12844
13> hhlivestock<-CollapseBy(df,11,10)> head(hhlivestock)
ID m4b21c5
1 ID01016003821013 88116
2 ID01016003821015
587
3 ID01016003970214
2364
4 ID01016003970219 13585
5 ID01016004061913
4379
6 ID01016004061915
7398

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> dim(hhlivestock)[1] 4481
2> d<-merge(d,hhlivestock,by="ID",all.x=T)> d[is.na(d)]<-0
No.30> table(abs(d$m4b21c5-d$m4b21t)<=2)
TRUE
9399

############################################ Revenue from hunting
No.47 = 54
> table(d$tongthu_08==d$m4b22t)
TRUE
9399
# 16 muc4b21 Livestock/hunting> df<-lss2010[[16]]> df<-subset(df,m4b21ma==19)> dim(df)[1] 123 13> sum(duplicated(df$ID))[1] 0> df<-merge(d[,c("ID","m4b22t")],df,by="ID",all.y=T)> dim(df)[1] 123 14
No.54> table(df$m4b22t==df$m4b21c5)
TRUE
123

######################################## Revenue from agricultural services
No.48 = 59
> table(d$tongthu_09==d$m4b3t)
TRUE
9399

# 19 muc4b32 Agricultural services> df<-lss2010[[18]]> dim(df)Vietnam VHLSS 2010 Manual (Version 1.0)

161

[1] 200 12> sum(duplicated(df$ID))[1] 27> df<-CollapseBy(df,10,9)> dim(df)[1] 1732> df<-merge(d[,c("ID","m4b3t")],df,by="ID",all.y=T)> dim(df)[1] 1733> head(df)ID m4b3t m4b31c5
1 ID01016003821013 11340 11340
2 ID01275098951614 63243 63243
3 ID01275099460313 7591
7591
4 ID01282104921013 3793
3793
5 ID04047014890114 6192
6192
6 ID04051016691413 12840 12840
No.59> table(abs(df$m4b3t-df$m4b31c5)<2)
TRUE
173

####################################################### Revenue from forestry
No.49 = 63
> table(d$tongthu_10==d$m4b4t)
TRUE
9399

# 20 muc4b41 forestry> df<-lss2010[[20]]> dim(df)[1] 3504 16> hhforestry<-CollapseBy(df,14,12)> dim(hhforestry)[1] 21102> head(hhforestry)
ID m4b41c3f
1 ID01275049390619
1175
2 ID02026007300213
2076
3 ID02026007300214
3552
4 ID02026007300215
2407
5 ID02026007390513
3811
6 ID02026007390514
3854

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> df<-merge(d[,c("ID","m4b4t")],hhforestry,by="ID",all.y=T)> dim(df)[1] 21103
No.63> table(abs(df$m4b4t-df$m4b41c3f)<=2)
TRUE
2110

######################################################### Revenue from aquaulture
No.50 = 86
> table(d$tongthu_11==d$m4b5t)
TRUE
9399

# 22 muc4b51 aquaculture> df<-lss2010[[22]]> dim(df)[1] 2671 13> table(df$m4b51ma)
3
11 12 1314 21
1 1073 225 35 152 716

2223
91 378# Confirmed that df does not include aquaculture code = 1 and 2.
> colnames(df)[1] "tinh""huyen""xa""diaban" "hoso"[7] "m4b51c3" "m4b51c4a" "m4b51c4b" "m4b51c5" "ID"[13] "eaid"> hhaqua<-CollapseBy(df,11,10)> dim(hhaqua)[1] 1856
2> head(hhaqua)
ID m4b51c5
1 ID01016003970214
851
2 ID01016004182115
2675
3 ID01017004841115 18422
4 ID01269096040814
1807
5 ID01269096040815 13814
6 ID01271097060713
2170> df<-merge(d[,c("ID","m4b5t")],hhaqua,by="ID",all.y=T)> dim(df)[1] 18563> table(abs(df$m4b5t-df$m4b51c5)<2)
TRUE

Vietnam VHLSS 2010 Manual (Version 1.0)

"m4b51ma"
"wt"

163

1856

##################################################### Non-farm BusinessNo.51 = 90
> table(d$tongthu_12==d$m4ct)
TRUE
9399
# 24 muc4c1 business> df<-lss2010[[24]]> dim(df)[1] 4007 26> colnames(df)[1] "tinh""huyen""xa""diaban" "hoso""m4c1ma" "m4c1c2"[8] "m4c1c3" "m4c1c4" "m4c1c5" "m4c1c6" "m4c1c7" "m4c1c8" "m4c1c9"[15] "m4c1c10" "m4c1c11" "m4c1c12" "m4c1c13" "m4c1c14" "m4c1c15" "m4c1c16"[22] "m4c1c17" "m4c1c18" "ID""wt"
"eaid"> hhbusiness<-CollapseBy(df,24,23)> dim(hhbusiness)[1] 32602> df<-merge(d[,c("ID","m4ct")],hhbusiness,by="ID",all.y=T)> dim(df)[1] 32603
No.90> table(abs(df$m4ct-df$m4c1c18)<2)
TRUE
3260

#################################################### Other revenue included in incomes
No.52 = 93
> table(d$tongthu_13==d$m4dtn)
TRUE
9399
# 26 muc4d> df<-lss2010[[26]]> dim(df)[1] 9399 32> colnames(df)[1] "tinh""huyen""xa""diaban""hoso""m4dc2_01"[7] "m4dc2_02" "m4dc2_03" "m4dc2_04" "m4dc2_05" "m4dc2_06" "m4dc2_07"

Vietnam VHLSS 2010 Manual (Version 1.0)

164[13] "m4dc2_08" "m4dc2_09" "m4dc2_10" "m4dc2_11" "m4dc2_12" "m4dc2_13"[19] "m4dc2_14" "m4dc2_15" "m4dc2_16" "m4dc2_17" "m4dc2_18" "m4dc2_19"[25] "m4dc2_20" "m4dc2_21" "m4dc2_22" "m4dc2_23" "m4dc2_24" "ID"[31] "wt""eaid"# Correspondences between variable names and other revenue codes
Code
Variable101
m4dc2_01
1011
m4dc2_02x1012
m4dc2_03x1013
m4dc2_04x1014
m4dc2_05
x102
m4dc2_06
1021
m4dc2_07
x1022
m4dc2_08x1023
m4dc2_09x1024
m4dc2_10
x103
m4dc2_11
104
m4dc2_12
105
m4dc2_13
106
m4dc2_14
107
m4dc2_15
108m4dc2_16
109
m4dc2_17
110
m4dc2_18
111
m4dc2_19
112
m4dc2_20> df$total<-rowSums(df[,c(6,11,16:25)],na.rm=T)
No.93> table(abs(df$total-d$m4dtn)<2)
TRUE
9399

######################################################### Revenue from renting out houses and residential land
No.53 = m7c12 in 34 muc7
# 34 muc7 Housing> df<-lss2010[[34]]> dim(df)[1] 9399 33> table(d$ID==df$ID)

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TRUE
9399
> df[is.na(df)]<-0> table(d$tongthu_14==df$m7c12)
TRUE
9399

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

COST-related variables############################################### Total cost
No.65 = 66:72> table(abs(d$chisxkd_1-rowSums(d[,66:72]))<=2)
TRUE
9399
############################## Expenditure on crops
No.66 = 118> table(d$chisxkd_2==d$m4b1c)
TRUE
9399
# 14 muc4b16 cost of cultivation> df<-lss2010[[14]]> dim(df)[1] 47482
16> colnames(df)[1] "tinh""huyen""xa""diaban""hoso""m4b16ma"[7] "m4b16c2a" "m4b16c2b" "m4b16c2c" "m4b16c2d" "m4b16c2e" "m4b16c2e1"[13] "m4b16c2e2" "ID""wt"
"eaid"> costcrop<-CollapseBy(df,14,11)> dim(costcrop)[1] 5733
2> head(costcrop)
ID m4b16c2e
1 ID01003000910613
11447
2 ID01004001480614
3893
3 ID01004001480615
2364
4 ID01016003821013
9340
5 ID01016003821014
955
6 ID01016003821015
2638> df<-merge(d[,c("ID","m4b1c")],costcrop,by="ID",all.y=T)> dim(df)[1] 5733
3
No.118> table(abs(df$m4b1c-df$m4b16c2e)<=4)
TRUE
5733

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167################################### Expenditure of livestock
No.67 = 55
> table(d$chisxkd_3==d$m4b21c)
TRUE
9399
# 17 muc4b22 costs of livestock> df<-lss2010[[17]]> dim(df)[1] 8111 32> table(df$m4b22ma)
1
2
3
4
5
6
7
8
9 10 112167 528
4 42 3784 1008 31
30 16 394 107> df<-subset(df,m4b22ma<=10)> dim(df)[1] 8004 32> colnames(df)[1] "tinh""huyen""xa""diaban""hoso""m4b22ma"[7] "m4b22c7" "m4b22c8" "m4b22c9" "m4b22c10a" "m4b22c10b" "m4b22c10c"[13] "m4b22c10d" "m4b22c10e" "m4b22c10f" "m4b22c10g" "m4b22c10h" "m4b22c10i"[19] "m4b22c10j" "m4b22c10k" "m4b22c11" "m4b22c12" "m4b22c13" "m4b22c14"[25] "m4b22c15" "m4b22c16" "m4b22c17" "m4b22c18" "m4b22c19" "ID"[31] "wt""eaid"> costlive<-CollapseBy(df,30,29)> dim(costlive)[1] 44832> df<-merge(d[,c("ID","m4b21c")],costlive,by="ID",all.y=T)> dim(df)[1] 4483
3

No.55> table(abs(df$m4b21c-df$m4b22c19)<=1)
TRUE
4483

######################################## Expenditure on hunting
No.68 = 56
> table(d$chisxkd_4==d$m4b22c)
TRUE
9399
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[1] 8111 32> df<-subset(df,m4b22ma==11)> dim(df)[1] 107 32> sum(duplicated(df$ID))
[1] 0
No.56
> table(df$m4b22c==df$m4b22c19)
TRUE
107

######################################## Expenditure on agricultural services
No.69 = 60
> table(d$chisxkd_5==d$m4b3c)
TRUE
9399
# 19 muc4b32 cost of agricultural service activities> df<-lss2010[[19]]> dim(df)[1] 199 30> sum(duplicated(df$ID))[1] 27> costagserv<-CollapseBy(df,28,27)> dim(costagserv)[1] 1722> df<-merge(d[,c("ID","m4b3c")],costagserv,by="ID",all.y=T)
No.60> table(abs(df$m4b3c-df$m4b32c17)<2)
TRUE
172

########################################## Expenditure on forestry
No.70 = 64
> table(d$chisxkd_6==d$m4b4c)
TRUE
9399
# 21 muc4b42 costs of forestry> df<-lss2010[[21]]Vietnam VHLSS 2010 Manual (Version 1.0)

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> dim(df)[1] 2119 33> colnames(df)[1] "tinh""huyen""xa""diaban" "hoso"[6] "m4b42ma" "m4b42c1" "m4b42c2" "m4b42c3" "m4b42c4a"[11] "m4b42c4b" "m4b42c4c" "m4b42c4d" "m4b42c4e" "m4b42c4f"[16] "m4b42c4g" "m4b42c4h" "m4b42c4i" "m4b42c4j" "m4b42c4k"[21] "m4b42c5" "m4b42c6" "m4b42c7" "m4b42c8" "m4b42c9"[26] "m4b42c10" "m4b42c11" "m4b42c12" "m4b42c13" "m4b42c14"[31] "ID""wt""eaid"> costforestry<-CollapseBy(df,31,30)> dim(costforestry)[1] 20692> df<-merge(d[,c("ID","m4b4c")],costforestry,by="ID",all.y=T)> dim(df)[1] 20693
No.64> table(abs(df$m4b4c-df$m4b42c14)<2)
TRUE
2069

###################################### Expenditure on aquaculture
No.71 = 87
> table(d$chisxkd_7==d$m4b5c)
TRUE
9399
# 23 muc4b52 costs of aquaculture> df<-lss2010[[23]]> dim(df)[1] 2013 33> colnames(df)[1] "tinh""huyen""xa""diaban""hoso"[6] "m4b52ma" "m4b52c6" "m4b52c7" "m4b52c8" "m4b52c9a"[11] "m4b52c9b" "m4b52c9c" "m4b52c9d" "m4b52c9e" "m4b52c9f"[16] "m4b52c9g" "m4b52c9h" "m4b52c9i" "m4b52c9j" "m4b52c9k"[21] "m4b52c10" "m4b52c11" "m4b52c12" "m4b52c13" "m4b52c14"[26] "m4b52c15" "m4b52c16" "m4b52c17" "m4b52c18" "m4b52c19"[31] "ID""wt""eaid"> costaqua<-CollapseBy(df,31,30)> dim(costaqua)[1] 18522> df<-merge(d[,c("ID","m4b5c")],costaqua,by="ID",all.y=T)> dim(df)[1] 1852
3

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No.87
> table(abs(df$m4b5c-df$m4b52c19)<=1)
TRUE
1852

####################################### Expenditure on non-farm businessNo.72 = 92
> table(d$chisxkd_8==d$m4cc)
TRUE
9399
# 25 muc4c2 costs of business> df<-lss2010[[25]]> dim(df)[1] 4007 35> colnames(df)[1] "tinh""huyen""xa""diaban""hoso"[6] "m4c2ma""m4c2c19" "m4c2c20" "m4c2c21a" "m4c2c21b"[11] "m4c2c21c" "m4c2c21d" "m4c2c21e" "m4c2c21f" "m4c2c21g"[16] "m4c2c21h" "m4c2c21i" "m4c2c21j" "m4c2c21k" "m4c2c22"[21] "m4c2stt" "m4c2c23" "m4c2c24" "m4c2c25" "m4c2c26"[26] "m4c2c27" "m4c2c28" "m4c2c29" "m4c2c30" "m4c2c31"[31] "m4c2c32" "m4c2c33" "ID""wt"
"eaid"> costbusiness<-CollapseBy(df,33,32)> dim(costbusiness)[1] 32602> df<-merge(d[,c("ID","m4cc")],costbusiness,by="ID",all.y=T)> dim(df)[1] 32603
No.92> table(abs(df$m4cc-df$m4c2c33)<=1)
TRUE
3260

###################################### Total income
No.73 = 40 - 65
> table(d$thunhap==(d$tongthu_01-d$chisxkd_1))
TRUE
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

Consistency check of CONSUMPTION-related variables in ttchung

CONSUMPTION-related variables in ttchung37 ttchung> d<-lss2010[[37]]> dim(d)[1] 9399 121############################################## Education
No.75 = 18
> head(d[,c("ID","chikhac_1","m2act","m2atn","m2btn")])ID chikhac_1 m2act m2atn m2btn
1 ID1001000041213
24800 24800
0NA
2 ID1001000041214
000NA
3 ID1001000041215
10000 10000
0NA
4 ID1001000072213
12500 12500
0NA
5 ID1001000072215
7200 7200
0NA
6 ID1001000072220
7800 7800
95
NA> table(d$chikhac_1==d$m2act)
TRUE
9399

4 muc2 education> df<-lss2010[[04]]> dim(df)[1] 36999
38> colnames(df)[1] "tinh" "huyen" "xa""diaban" "hoso" "matv" "m2c1" "m2c2a"[9] "m2c2b" "m2c3" "m2c4" "m2c5" "m2c6" "m2c7" "m2c8" "m2c9"[17] "m2c10a" "m2c10b" "m2c11a" "m2c11b" "m2c11c" "m2c11d" "m2c11e" "m2c11f"[25] "m2c11g" "m2c11h" "m2c11i" "m2c11k" "m2c12" "m2c13" "m2c14" "m2c15a"[33] "m2c15b" "m2c16" "ID""wt"
"eaid" "PID"No.18> df[is.na(df)]<-0> t<-aggregate(df$m2c11k+df$m2c14,list(df$ID),sum,na.rm=T)> dim(t)[1] 9399
2> head(t)Group.1x
1 ID1001000041213 24800
2 ID1001000041214
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3 ID1001000041215 10000
4 ID1001000072213 12500
5 ID1001000072215 7200
6 ID1001000072220 7800
> colnames(t)<-c("ID","m2ct")> table(t$m2ct==d$m2act)
TRUE
9399
>

############################################## Health
No.76 = 114> head(d[,c("ID","chikhac_2","m3ct1","m3ct2","m3ct3","m3ct","m3tn")])ID chikhac_2 m3ct1 m3ct2 m3ct3 m3ct m3tn
1 ID1001000041213
1410 1300
00 14100
2 ID1001000041214
100
0
0
0 100
0
3 ID1001000041215
450 150
00 450
04 ID1001000072213
500
00 100 500
0
5 ID1001000072215
700 1500
50 7000
6 ID1001000072220
1200 650
050 1200
0> table(d$chikhac_2==d$m3ct)
TRUE
9399

5 muc3a, 6 muc3b Health# 5 muc3a healthcare> df<-lss2010[[5]]> dim(df)[1] 19647
20> colnames(df)[1] "tinh" "huyen" "xa""diaban" "hoso" "matv" "m3c2"[9] "m3c3b" "m3c4" "m3c5a" "m3c5b" "m3c6a" "m3c6b" "m3c7"[17] "ID""wt""eaid" "PID""m3c3a""m3c8"# m3c5b: costs for health checks/ non-resident treatment# m3c6b: costs for resident treatment# Revised function CollapseBy> CollapseBy<-function(df,hhid,cols,ID=NULL){+ # Version 2_20161217+ # To aggregate variables assigned by cols in data frame df at hhid level+ # df: data frame+ # hhid: household variable

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+ # cols: variables to be aggregated+ # HHID: household id codes to be matched, or+ #unique(df$hhid) if not specified++ if(is.numeric(hhid)){ hhid<-colnames(df)[hhid] }+ if(is.numeric(cols)){ cols<-colnames(df)[cols] }+ if(!missing(ID)) { y<-data.frame(ID,row.names=NULL)+ }else{ y<-data.frame(unique(df[,hhid]),row.names=NULL) }+ colnames(y)<-hhid+ for(j in cols){+ t<-aggregate(df[,j],list(df[,hhid]),sum,na.rm=T)+ colnames(t)<-c(hhid,j)+ y<-merge(y,t,by=hhid,all.x=T)+ }+ y[is.na(y)]<-0+ return (y)+ }> HHID<-d$ID> length(HHID)[1] 9399> ta<-CollapseBy(df,"ID",c("m3c5b","m3c6b"),HHID)> dim(ta)[1] 9399
3> ta$ta<-rowSums(ta[,2:3])> head(ta[ta$m3c6b>0,])
ID m3c5b m3c6bta
8 ID01001000161519
900 3000 3900
11 ID01001000221914 1280 13100 14380
15 ID01001000282019 8410 2000 10410
18 ID01001000342515 1500 5000 6500
32 ID01003000910614
100 14000 14100
33 ID01003000910615 2300 2500 4800

# 6 muc3b healthcare> df<-lss2010[[6]]> dim(df)[1] 36999
19> colnames(df)[1] "tinh" "huyen" "xa""diaban" "hoso" "matv" "m3c9" "m3c10a"[9] "m3c10b" "m3c11" "m3c12a" "m3c12b" "m3c13" "m3c14" "m3c15" "ID"[17] "wt""eaid" "PID"# m3c11: health insurance# m3c13: medicines# m3c14: medical facilities

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> tb<-CollapseBy(df,"ID",c("m3c11","m3c13","m3c14"),HHID)> dim(tb)[1] 9399
4> head(tb)ID m3c11 m3c13 m3c14
1 ID01001000041213
0 100
10
2 ID01001000041214
0 100
0
3 ID01001000041215
0 200 100
4 ID01001000072213 100 400
0
5 ID01001000072215
50 5000
6 ID01001000072220
50 5000> tb$tb<-rowSums(tb[,2:4])> head(tb)ID m3c11 m3c13 m3c14 tb
1 ID01001000041213
0 100
10 110
2 ID01001000041214
0 100
0 100
3 ID01001000041215
0 200 100 300
4 ID01001000072213 100 400
0 500
5 ID01001000072215
50 5000 550
6 ID01001000072220
50 5000 550

No.114> table(abs(d$m3ct-(ta$ta+tb$tb))<1)
TRUE
9399
Remarks:
No.114m3ct = ta + tb
= sum of m3c5b and m3c6b in muc3a+ sum of m3c11, m3c13 and m3c14 in muc3b############################################## Food during holidays
No.77 food during holidays = 94
> table(d$chikhac_3==d$m5a1ct,useNA="ifany")
TRUE
9399
No.94 = 95 (in cash) + 96 (in-kind)> table(abs(rowSums(d[,c("m5a1c4","m5a1c5")])-d$m5a1ct)<1,useNA="ifany")
TRUE
9399
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> dim(df)[1] 136854
13> head(df)tinh huyen xa diaban hoso m5a1ma m5a1c2a m5a1c2b m5a1c3a m5a1c3b
1
1
1 4
12
13
110
3
180
0
NA
2
1
1 4
12
13
144
4
200
0
NA
3
1
1 4
12
13
140
4
300
0
NA
4
1
1 4
12
13
151
NA
100
NA
100
5
1
1 4
12
13
139
1
20
0
NA
6
1
1 4
12
13
146
10
100
0
NA
ID wt
eaid
1 ID1001000041213 3977 10010000412
2 ID1001000041213 3977 10010000412
3 ID1001000041213 3977 10010000412
4 ID1001000041213 3977 10010000412
5 ID1001000041213 3977 10010000412
6 ID1001000041213 3977 10010000412> dd<-CollapseBy(df,"ID",c("m5a1c2b","m5a1c3b"),HHID)> dim(dd)[1] 9399
3> head(dd)ID m5a1c2b m5a1c3b
1 ID01001000041213
3616
400
2 ID01001000041214
2216
0
3 ID01001000041215
3461
0
4 ID01001000072213
6217
0
5 ID01001000072215
6111
0
6 ID01001000072220
5568
0
No.95
> table(abs(d$m5a1c4-dd$m5a1c2b)<1)
TRUE
9399

No.96
> table(abs(d$m5a1c5-dd$m5a1c3b)<1)
TRUE
9399

####################################### Daily food
No.78 daily food = 97
> table(d$chikhac_4==d$m5a2ct)
TRUE
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No.97 = 98:100> table(abs(d$m5a2ct-rowSums(d[,c("m5a2c6","m5a2c7","m5a2c8")]))<1)
TRUE
9399

28 muc5a2 daily food> df<-lss2010[[28]]> dim(df)[1] 236630
17> head(df)tinh huyen xa diaban hoso m5a2ma m5a2c2a m5a2c2b m5a2c3a m5a2c3b m5a2c4a
1
1
1 4
12
13
137
NA
50
NA
50
NA
2
1
1 4
12
13
117
2.0
64
2.0
64
0
3
1
1 4
12
13
108
10.0
80
10.0
80
0
4
1
1 4
12
13
132
4.0
50
4.0
50
0
5
1
1 4
12
13
107
2.5
60
2.5
60
0
6
1
1 4
12
13
150
0.1
13
0.1
13
0
m5a2c4b m5a2c5a m5a2c5b
ID wt
eaid
1
0
NA
0 ID1001000041213 3977 10010000412
2NA
0NA ID1001000041213 3977 10010000412
3NA
0NA ID1001000041213 3977 10010000412
4NA
0NA ID1001000041213 3977 10010000412
5NA
0NA ID1001000041213 3977 10010000412
6NA
0NA ID1001000041213 3977 10010000412t> dd<-CollapseBy(df,"ID",c("m5a2c2b","m5a2c3b","m5a2c4b","m5a2c5b"),HHID)> dim(dd)[1] 9399
5> head(dd)ID m5a2c2b m5a2c3b m5a2c4b m5a2c5b
1 ID01001000041213
4911
4911
0
0
2 ID01001000041214
2103
2103
0
0
3 ID01001000041215
3121
3121
0
0
4 ID01001000072213
3481
3481
0
0
5 ID01001000072215
5979
5979
0
0
6 ID01001000072220
6120
6120
0
0
No.97
> table(abs(d$m5a2ct-dd$m5a2c2b)<1)
TRUE
9399
No.98
> table(abs(d$m5a2c6-dd$m5a2c3b)<1)
TRUE
9399

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No.99
> table(abs(d$m5a2c7-dd$m5a2c4b)<1)
TRUE
9399
No.100> table(abs(d$m5a2c8-dd$m5a2c5b)<1)
TRUE
9399

################################### Daily non-food
No.79 daily non-food = 101> table(d$chikhac_5==d$m5b1ct)
TRUE
9399
No.101 = 102:104> table(abs(d$m5b1ct-rowSums(d[,c("m5b1c6","m5b1c7","m5b1c8")]))<1)
TRUE
9399

29 muc5b1 daily non-food> df<-lss2010[[29]]> dim(df)[1] 111034
13> head(df)tinh huyen xa diaban hoso m5b1ma m5b1c2 m5b1c3 m5b1c4 m5b1c5
ID
1
1
1 4
12
13
228
500
500
0
0 ID1001000041213
2
1
1 4
12
13
217
60
60
0
0 ID1001000041213
3
1
1 4
12
13
216
30
30
0
0 ID1001000041213
4
1
1 4
12
13
204
1000 1000
00 ID1001000041213
5
1
1 4
12
13
218
30
30
0
0 ID1001000041213
6
1
1 4
12
13
219
100
100
0
0 ID1001000041213
wt
eaid
1 3977 10010000412
2 3977 10010000412
3 3977 10010000412
4 3977 10010000412
5 3977 10010000412
6 3977 10010000412> dd<-CollapseBy(df,"ID",7:10,HHID)> dim(dd)Vietnam VHLSS 2010 Manual (Version 1.0)

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[1] 9399
5> head(dd)ID m5b1c2 m5b1c3 m5b1c4 m5b1c5
1 ID01001000041213 2560
2560
0
0
2 ID01001000041214 1090
1090
0
0
3 ID01001000041215 2000
2000
0
0
4 ID01001000072213 2308
2308
0
0
5 ID01001000072215 3650
3650
00
6 ID01001000072220 2348
2348
0
0

No.101> table(abs(d$m5b1ct-dd$m5b1c2)<1)
TRUE
9399
No.102> table(abs(d$m5b1c6-dd$m5b1c3)<1)
TRUE
9399
No.103> table(abs(d$m5b1c7-dd$m5b1c4)<1)
TRUE
9399
No.104> table(abs(d$m5b1c8-dd$m5b1c5)<1)
TRUE
9399

############################# Yearly non-food
No.80 yearly non-food = 105> table(d$chikhac_6==d$m5b2ct)
TRUE
9399
No.105 = 106:107> table(abs(d$m5b2ct-rowSums(d[,c("m5b2c4","m5b2c5")]))<1)
TRUE
9399

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> df<-lss2010[[30]]> dim(df)[1] 119120
11> head(df)tinh huyen xa diaban hoso m5b2ma m5b2c2 m5b2c3
ID wt
eaid
1
1
1 4
12
13
327 10560
0 ID1001000041213 3977 10010000412
2
1
1 4
12
13
312
150
0 ID1001000041213 3977 10010000412
3
1
1 4
12
13
317
300
0 ID1001000041213 3977 10010000412
4
1
1 4
12
13
320
600
0 ID1001000041213 3977 10010000412
5
1
1 4
12
13
313
50
0 ID1001000041213 3977 10010000412
6
1
1 4
12
13
326
30
0 ID1001000041213 3977 10010000412> dd<-CollapseBy(df,"ID",c("m5b2c2","m5b2c3"),HHID)> dim(dd)[1] 9399
3> head(dd)ID m5b2c2 m5b2c3
1 ID01001000041213 33460
0
2 ID01001000041214 33230
0
3 ID01001000041215 32050
0
4 ID01001000072213 17938
0
5 ID01001000072215 37440
0
6 ID01001000072220 18730
0No.106> table(abs(d$m5b2c4-dd$m5b2c2)<1)
TRUE
9399
No.107> table(abs(d$m5b2c5-dd$m5b2c3)<1)
TRUE
9399

############################################### Other expenditure considered as consumption
No.81 other expenditure = 108> table(d$chikhac_7==d$m5b3ct)
TRUE
9399

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> dim(df)[1] 9399 17> head(df)tinh huyen xa diaban hoso m5b3c2_1 m5b3c2_2 m5b3c2_3 m5b3c2_4 m5b3c2_5 m5b3c2_6
1
1
1 4
12
13
50
600
400
0
0
2000
2
1
1 4
12
14
50
500
0
0
0
0
3
1
1 4
12
15
0
600
200
0
0
1000
4
1
1 7
22
13
0
200
0
0
0
0
5
1
1 7
22
15
0
0
0
300
0
8000
6
1
1 7
22
20
0
0
0
0
0
10000
m5b3c2_7 m5b3c2_8 m5b3c2_9
ID wt
eaid
1
2000
5000
0 ID1001000041213 3977 10010000412
2
5000
3000
0 ID1001000041214 3977 10010000412
30
2000
0 ID1001000041215 3977 10010000412
40
2000
0 ID1001000072213 4805 10010000722
50
4000
0 ID1001000072215 4805 10010000722
60
3000
0 ID1001000072220 4805 10010000722
Note: Variables of m5b3c2_1 to m5b3c2_9 correspond to item 400 to 408.

No.108> df$m5b3c2t<-rowSums(df[,6:14],na.rm=T)> table(abs(df$m5b3c2t-d$m5b3ct)<1)
TRUE
9399

################################################## Durables
No.82 durables = 109> table(d$chikhac_8==d$m6c7)
TRUE
9399

33 muc6b durables> df<-lss2010[[33]]> dim(df)[1] 91597
14> head(df)tinh huyen xa diaban hoso m6c2 m6c3 m6c4t m6c4n m6c5 m6c6
ID wt
1
1
1 4
12
13 24
1
0 2004 NA 1000 ID1001000041213 3977
2
1
1 4
12
13
2
1
0 2005 NA 5000 ID1001000041213 3977
3
1
1 4
12
13 15
2
0 2008 NA 8000 ID1001000041213 3977
4
1
1 4
12
13 14
1
0 2007 NA 500 ID1001000041213 3977
5
1
1 4
12
13 23
2
0 2006 NA 5000 ID1001000041213 3977

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6

1

1 4
eaid
1 10010000412
2 10010000412
3 10010000412
4 10010000412
5 10010000412
6 10010000412

12

13

12

3

0 2006NA 2000 ID1001000041213 3977

> sum(!is.na(df$m6c5)&df$m6c5>0)[1] 9683
No.109> t<-aggregate(df$m6c5,list(df$ID),sum,na.rm=T)> dim(t)[1] 92222> head(t)Group.1x
1 ID1001000041213
02 ID1001000041214
0
3 ID1001000041215
0
4 ID1001000072213 38000
5 ID1001000072215
0
6 ID1001000072220
0> colnames(t)<-c("ID","m6c5")> d<-merge(d,t,by="ID",all.x=T)> table(abs(d$m6c7-d$m6c5)<1,useNA="ifany")
TRUE <NA>9222 177################################################## Housing
No.83 Recurrent expenditures on housing, electricity, water and daily life
34 muc7 housing> df<-lss2010[[34]]> dim(df)[1] 9399 33> colnames(df)[1] "tinh" "huyen" "xa"[9] "m7c4" "m7c5" "m7c6"[17] "m7c12" "m7c13" "m7c14"[25] "m7c19" "m7c19k" "m7c20"[33] "eaid"> df[is.na(df)]<-0"diaban" "hoso" "m7c1""m7c7" "m7c8" "m7c9""m7c15a" "m7c15b" "m7c16""m7c21" "m7c22" "m7c23"

No.83

Vietnam VHLSS 2010 Manual (Version 1.0)

"m7c2""m7c10""m7c17""ID""m7c3""m7c11""m7c18""wt"

182> table(abs(d$chikhac_9-rowSums(df[,c("m7c7","m7c13","m7c16","m7c20","m7c22")]))<1)
TRUE
9399

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7. Household incomeDefinition of household income
The household income is defined as in the next table of TTCHUNG.

No

Description

Operational definition

40

Variablenametongthu_01

Total of household REVENUE= sum of tongthu_02 to tongthu_14 (41-53)

Confirmed
from dataYes

41

tongthu_02

Income from subsidies,scholarship=m2atn (19)

Yes

42

tongthu_03

Income from health subsidies=m3tn (115)

Yes

43

tongthu_04

Income from wage

=m4atn (27)

Yes

44

tongthu_05

revenue from crops=m4b0tn (33)

Yes

45

tongthu_06

Revenue from livestock=m4b1t (117)

Yes

46

tongthu_07

Revenue from Agricultural Services=m4b21t (30)

Yes

47

tongthu_08

Revenue from hunting, trapping=m4b22t (54)

Yes

48

tongthu_09

Revenue from forestry=m4b3t (59)

Yes

49

tongthu_10

Revenue from aquaculture=m4b4t (63)

Yes

50

tongthu_11

Revenue from non-farm business=m4b5t (86)

Yes

51

tongthu_12

Other income=m4ct (90)

Yes

52

tongthu_13=m4dtn (93)

Yes

53

tongthu_14

Other money received, notconsidered as income
Income from house and land rentingout

65

chisxkd_1

Expenditure on business(TOTAL COST)= sum of chisxkd_2 to chisxkd_8

Yes

66

chisxkd_2

Expenditure on crops=m4b1c (118)

Yes

67

chisxkd_3

Expenditure on livestock=m4b21c (55)

Yes

68

chisxkd_4

Expenditure on agricultural services=m4b22c (56)

Yes

69

chisxkd_5

Expenditure on hunting, trapping..

=m4b3c (60)

Yes

70

chisxkd_6

Expenditure on forestry=m4b4c (64)

Yes

71

chisxkd_7

Expenditure on aquaculture=m4b5c (87)

Yes

72

chisxkd_8

Expenditure on non-farm business=m4cc (92)

Yes

73

thunhap(Yearly) Income= total revenue – total cost
= tongthu_01 (40) – chisxkd_1 (65)

Yes

74

thubq

(Yearly) Income per capita=m7c12

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Data file

muc7

Yes

184

Remarks on definition:1) In-kind income is included.
2) Imputed rent is not estimated.


It is difficult to estimate imputed rent from market data because the share of households paying
rent is small.

> d<-lss2010[[34]] # Housing# m7c6: Does your household pay rents? (in cash or kind)> nrow(subset(d,m7c6==1))/nrow(d)[1] 0.02585381


The share of sample households paying house rent is 2.6%.

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

Mean monthly household income# Total income
No.73 = 40 – 65
> d<-lss2010[[37]]> table(d$thunhap==(d$tongthu_01-d$chisxkd_1))
TRUE
9399

# Generated monthly household income> d$minc<-round(d$thunhap/12)> round(weighted.mean(d$minc,d$wt))[1] 6027# Appended minc to ttchung> ttchung<-dMean value by component items of household income> df<-ttchung[,c(40:53,65:74,122)]> colnames(df)[1] "tongthu_01" "tongthu_02" "tongthu_03" "tongthu_04" "tongthu_05"[6] "tongthu_06" "tongthu_07" "tongthu_08" "tongthu_09" "tongthu_10"[11] "tongthu_11" "tongthu_12" "tongthu_13" "tongthu_14" "chisxkd_1"[16] "chisxkd_2" "chisxkd_3" "chisxkd_4" "chisxkd_5" "chisxkd_6"[21] "chisxkd_7" "chisxkd_8" "thunhap""thubq""minc"> t<-round(apply(df,2,function(x) weighted.mean(x,d$wt)))> data.frame(variable=names(t),value=t,row.names=NULL,+ label=c(var.names[37][[1]][c(40:53,65:74)],"Monthly household income"))variable value

label

1

tongthu_01 110421

Total of household revenue

2

tongthu_02

115

Income from subsidies,scholarship3

tongthu_03

623

Income from health subsidies

4

tongthu_04 30608

Income from wage

5

tongthu_05

6tongthu_06 15087

Revenue from crop

7

tongthu_07 10188

Revenue from husbandry

184 Revenue from renting out agricultural and forestry land and water surface

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8

tongthu_08

32

Revenue from hunting, trapping and domestication

9

tongthu_09

508

Revenue from agricultural services

10 tongthu_10

560

Revenue from forestry

11 tongthu_11

4253

Revenue from aquaculture

12 tongthu_12 38391

Other income

13 tongthu_13

9141

Other revenues included in incomes

14 tongthu_14

731

Revenues from renting out house(s) and residential land

15

chisxkd_1 38101

Expenditure on business16

chisxkd_2

6017

Expenditure on crops

17

chisxkd_3

6955

Expenditure on livestock18

chisxkd_4

3

Expenditure on hunting, trapping..

19

chisxkd_5

267

Expenditure on agricultural services

20

chisxkd_6

82

Expenditure on forestry

21

chisxkd_7

2677

Expenditure on aquaculture22

chisxkd_8 22099

Expenditure on non-farm business

23

thunhap 72320

Total Income

24

thubq

1676

income per capita per month

25

minc

6027

Monthly household incomeMean monthly income by region# Appended the variables of reg6 and reg8 in the data frame hhexpe10 to ttchung, that is, lss2010[[37]].
> df<-lss2010[[1]]> d$reg6<-df$reg6> d$reg8<-df$reg8> ttchung<-d# mean monthly income by six regions and urban/rural> t<-tapply(d$minc*d$wt,list(d$reg6,d$ttnt),sum)> colnames(t)<-c("Urban","Rural")> region.name<-c("Red River Delta","Midlands and Northern Mountains",+ "Northern and Coastal Central","Central Highlands",

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+ "Southeastern","Mekong Delta")> rownames(t)<-region.name> num<-addmargins(t)> den<-addmargins(tapply(d$wt,list(d$reg6,d$ttnt),sum))> (ret<-round(num/den))
Urban Rural
Red River Delta

Sum

10434 4760 6426

Midlands and Northern Mountains 5947 3381 3872
Northern and Coastal Central

6736 3717 4462

Central Highlands

6348 4094 4769

Southeastern

11806 8008 10172

Mekong Delta

7298 4847 5408

Sum

9202 4632 6027

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8. Household expenditureNoDefinition of components of household expenditure
Description

Operational definition

75

Variable
namechikhac_1

Expenditure on education=m2act (18)

Reference
period12M76chikhac_2

Expenditure on health=m3ct (114)

12M

77

chikhac_3

Expenditure on holiday food=m5a1ct (94)

12M

78

chikhac_4

Expenditure on daily food=m5a2ct (97)1M

79chikhac_5

Expenditure on daily non-food=m5b1ct (101)1M80chikhac_6

Expenditure on yearly non-food=m5b2ct (105)

12M

81

chikhac_7

Expenditure on other=m5b3ct (108)

12M

82

chikhac_8

Expenditure on durables=m6c7 (109)83

chikhac_9

Expenditure on housing= sum (m7c7 + m7c13 +m7c16 + m7c20 + m7c22)



Data
file

12M
muc7

12M

Generated household expenditure variables

Note: The reference period for the expenditure on holiday food is 15 days. Therefore, theexpenditure on daily food should be estimated for the period of 365 minus 15 days.

37 ttchung> d<-lss2010[[37]]> dim(d)[1] 9399 121# Generated household consumption variables> exp<-d[,c(119,120,75:83)]> dim(exp)[1] 9399 11> head(exp)
ID wt chikhac_1 chikhac_2 chikhac_3 chikhac_4
1 ID01001000041213 3977
24800
1410
4016
4911
2 ID01001000041214 3977
0
100
2216
2103
3 ID01001000041215 3977
10000
450
3461
3121
4 ID01001000072213 4805
12500
500
6217
3481
5 ID01001000072215 4805
7200
700
6111
5979
6 ID01001000072220 4805
7800
1200
5568
6120
chikhac_5 chikhac_6 chikhac_7 chikhac_8 chikhac_9
1
2560
33460
10050
0
15676

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2
3
4
5
6

1090
2000
2308
3650
2348

33230
32050
17938
37440
18730

8550
3800
2200
12300
13000

0
0
38000
0
0

9372
6604
6588
6984
6540

# Converted to annual> exp$chikhac_4<-round(exp$chikhac_4*12*(365-15)/365)> exp$chikhac_5<-round(exp$chikhac_5*12)> head(exp)
ID wt chikhac_1 chikhac_2 chikhac_3 chikhac_4
1 ID01001000041213 3977
24800
1410
4016
56510
2 ID01001000041214 3977
0
100
2216
24199
3 ID01001000041215 3977
10000
450
3461
35913
4 ID01001000072213 4805
12500
500
6217
40055
5 ID01001000072215 4805
7200
700
6111
68799
6 ID01001000072220 4805
7800
1200
5568
70422
chikhac_5 chikhac_6 chikhac_7 chikhac_8 chikhac_9
1
30720
33460
10050
0
15676
2
13080
33230
8550
0
9372
3
24000
32050
3800
0
6604
4
27696
17938
2200
38000
6588
5
43800
37440
12300
0
6984
6
28176
18730
13000
0
6540
# Annual total household expenditure> exp$yexp<-rowSums(exp[,3:11])# Monthly total household expenditure> exp$mexp<-round(exp$yexp/12)> head(exp)
ID wt chikhac_1 chikhac_2 chikhac_3 chikhac_4
1 ID01001000041213 3977
24800
1410
4016
56510
2 ID01001000041214 3977
0
100
2216
24199
3 ID01001000041215 3977
10000
450
3461
35913
4 ID01001000072213 4805
12500
500
6217
40055
5 ID01001000072215 4805
7200
700
6111
68799
6 ID01001000072220 4805
7800
1200
5568
70422
chikhac_5 chikhac_6 chikhac_7 chikhac_8 chikhac_9 yexp mexp
1
30720
33460
10050
0
15676 176642 14720
2
13080
33230
8550
0
9372 90747 7562
3
24000
32050
3800
0
6604 116278 9690
4
27696
17938
2200
38000
6588 151694 12641
5
43800
37440
12300
0
6984 183334 15278
6
28176
18730
13000
0
6540 151436 12620> round(weighted.mean(exp$yexp,exp$wt))[1] 57788

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> round(weighted.mean(exp$mexp,exp$wt))[1] 4816# Appended household size to exp.
> exp$hhsz<-d$tsnguoi# Monthly total household expenditure per capita> round(sum(exp$mexp*exp$wt)/sum(exp$hhsz*exp$wt))[1] 1244Appended yexp and mexp to ttchung> ttchung$yexp<-exp$yexp> ttchung$mexp<-exp$mexp> ttchung$reg6<-lss2010[[1]]$reg6> ttchung$reg8<-lss2010[[1]]$reg8> d<-ttchung> dim(d)[1] 9399 126> lss2010[[37]]<-dMean value by items of household expenditure> df<-exp[,3:13]> colnames(df)[1] "chikhac_1" "chikhac_2" "chikhac_3" "chikhac_4" "chikhac_5" "chikhac_6"[7] "chikhac_7" "chikhac_8" "chikhac_9" "yexp""mexp"> t<-apply(df,2,function(x) round(weighted.mean(x,exp$wt)))> data.frame(variable=names(t),value=t,row.names=NULL,+ label=c(var.names[37][[1]][75:83],"Yearly household expenditure",+ "Monthly household expenditure"))variable value

label

1

chikhac_1

3257

Expenditure on education

2

chikhac_2

2948

Expenditure on health3

chikhac_3

2035

Expenditure on foods and drinks during holidays

4chikhac_4 25132

Daily expenditure on foods and drinks

5chikhac_5

8124

Daily expenditure on non-food6chikhac_6

5027

Yearly Non-food expenditure

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7

chikhac_7

3446

Other expenditure considered as consumption

8chikhac_8

5439

Expenditures on durables over the past 12 month9chikhac_9

2381 Recurrent expenditures on housing, electricity, water,and daily life waste

10

yexp 57788

Yearly household expenditure

11

mexp

Monthly household expenditure



4816

Mean monthly household expenditure by six regions and urban/rural> t<-tapply(d$mexp*d$wt,list(d$reg6,d$ttnt),sum)> colnames(t)<-c("Urban","Rural")> rownames(t)<-region.name> num<-addmargins(t)> den<-addmargins(tapply(d$wt,list(d$reg6,d$ttnt),sum))> (ret<-round(num/den))
Urban Rural Sum
Red River Delta

8856 4078 5481

Midlands and Northern Mountains 5450 3202 3633
Northern and Coastal Central

6265 3529 4204

Central Highlands

5795 3664 4302

Southeastern

7502 4737 6312

Mekong Delta

5533 3865 4246

Sum

7078 3822 4816

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Remarks:
Household expenditure vs household consumption
According to the Users’ Manual of VHLSS 2006, the definition of consumption expenditure is thehousehold expenditure minus chikhac_08; expenses counted in household expenditure, but notcounted in consumption expenditure, as follows:Fee, administrative and legal service for life,
Contributions to various funds,
Amount paid in replacement of compulsory public labor,
All kind of taxes,
Wedding of a household member,
Funeral and death anniversaries of household members,Entertainment,
Gifts, donation, support,
Other expenses,
in which: cost for persons who used to be household member to study or be medically treated overseas.
These items correspond to chikhac_7: other costs as expenditures in VHLSS 2010.

Remarks:
Terms related to household expenditure
Terms used in theMonthly per

Corresponding variables ofTerms used in thissurvey report 2010

capita in 2010

ttchung in 2010

manualTotal consumption

1,211

expenditure(1000 VDN)

Consumption

1,139

expenditure for living
Eating, drinking &602

chikhac_1 to chikhac_9

expenditurechikhac_1 to chikhac_6,

Consumption

chikhac_8 and chikha_9

expenditurechikhac_3 and chikhac_4

Eating, drinking &smoking
Non-eating, drinking &Total householdsmoking537

smokingchikhac_1, chikhac_2,

Non-eating, drinking &chikhac_5, chikhac_6,

smokingchikhac_8 and chikhac_9
Other consumption

72

chikhac_7

expenditure

Non-consumption
expenditure

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VHLSS 2010

9. Micro data to be provided
Strategy

1. Resampling
The data files which were provided by NSO will be resampled as follows;
1.1

To append household identifier ID and weight wt to all data files.

1.2

To append personal identifier PID to muc1a, muc2, muc3a, muc3b and muc4a.

1.3

To delete hhexpe10, because it is used for office use.

1.4

To select 80% of ID by systematic sampling method.

1.5

To select records which ID belongs to the above selected ID from the data files.

2. The weight wt in all files will be adjusted by dividing by 0.8.

3.

Resampled data files will be provided in CSV and R format.

Resampling# Selected 80% of ID> ID<-lss2010[[1]]$ID> length(ID)[1] 9399> Int<-5> (St<-sample(1:5,1))[1] 4> ID.selected<-ID[(1:length(ID))%%Int!=(St-1)]> length(ID.selected)/length(ID)[1] 0.7999787> ID.selected<-ID.selected[order(ID.selected)]> head(ID.selected)[1] "ID01001000041213" "ID01001000041214" "ID01001000072213" "ID01001000072215"[5] "ID01001000072220" "ID01001000161514"

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# Resampled at the rate of 80%# lss2010[[1]] to lss2010[[37]]> Rnames.80<-paste(Rnames[-38],".80",sep="")> Rnames.80[1] "hhexpe10.80" "muc1a.80""muc1b.80""muc2.80""muc3a.80"[6] "muc3b.80""muc4a.80""muc4b0.80""muc4b11.80""muc4b12.80"[11] "muc4b13.80""muc4b14.80""muc4b15.80""muc4b16.80""muc4b17.80"[16] "muc4b21.80""muc4b22.80""muc4b31.80""muc4b32.80""muc4b41.80"[21] "muc4b42.80""muc4b51.80""muc4b52.80""muc4c1.80""muc4c2.80"[26] "muc4d.80""muc5a1.80""muc5a2.80""muc5b1.80""muc5b2.80"[31] "muc5b3.80""muc6.80""muc6b.80""muc7.80""muc8.80"[36] "muc8vayno.80" "ttchung.80"> lss.80<-list()> for(j in 1:37){+ d<-lss2010[[j]]+ lss.80[[j]]<-subset(d,is.element(d$ID,ID.selected))+ }> length(lss.80)[1] 37> for(j in 1:37){+ cat(format(Rnames.80[j],width=12),": ",+ format(nrow(lss.80[[j]]),width=6),",",+ format(ncol(lss.80[[j]]),width=3),"\n")+ }hhexpe10.80 :7519 , 56

muc1a.80:

29567 , 22

muc1b.80:

974 , 20

muc2.80:29567 , 38

muc3a.80:

15808 , 20

muc3b.80:

29567 , 19

muc4a.80:

29567 , 57

muc4b0.80:9293 , 12

muc4b11.80:

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muc4b12.80:

10454 , 14

muc4b13.80:

2428 , 15

muc4b14.80:

5811 , 15

muc4b15.80:

5338 , 13

muc4b16.80:

38048 , 16

muc4b17.80:

12135 , 14

muc4b21.80:

10364 , 13

muc4b22.80:

6475 , 32

muc4b31.80:

152 , 12

muc4b32.80:

152 , 30

muc4b41.80:

2820 , 16

muc4b42.80:

1696 , 33

muc4b51.80:

2156 , 13

muc4b52.80:

1625 , 33

muc4c1.80:3152 , 26

muc4c2.80:3152 , 35

muc4d.80:7519 , 32

muc5a1.80: 109506 , 13

muc5a2.80: 189252 , 17

muc5b1.80:

88725 , 13

muc5b2.80:

95314 , 11

muc5b3.80:7519 , 17

muc6.80:

7519 , 45

muc6b.80:

73237 , 14

muc7.80:

7519 , 33

muc8.80:

7519 , 56

muc8vayno.80 :1088 , 15ttchung.80

7519 , 126:# Adjusted weight> for(j in 1:37){+ d<-lss.80[[j]]+ d$WT<-d$wt/0.8+ lss.80[[j]]<-d+ }Vietnam VHLSS 2010 Manual (Version 1.0)

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> sum(lss.80[[1]]$WT)[1] 22275260> sum(lss2010[[1]]$wt)[1] 22278084# Dropped hhexpe10> lss.80[[1]]<-data.frame()> save(lss.80,file="Resampled_80%.RData")# Converted to CSV> CSVnames<-gsub("\\.","_",Rnames.80)> CSVnames<-paste(CSVnames,".csv",sep="")> CSVnames[1] "hhexpe10_80.csv" "muc1a_80.csv""muc1b_80.csv""muc2_80.csv"[5] "muc3a_80.csv""muc3b_80.csv""muc4a_80.csv""muc4b0_80.csv"[9] "muc4b11_80.csv""muc4b12_80.csv""muc4b13_80.csv""muc4b14_80.csv"[13] "muc4b15_80.csv""muc4b16_80.csv""muc4b17_80.csv""muc4b21_80.csv"[17] "muc4b22_80.csv""muc4b31_80.csv""muc4b32_80.csv""muc4b41_80.csv"[21] "muc4b42_80.csv""muc4b51_80.csv""muc4b52_80.csv""muc4c1_80.csv"[25] "muc4c2_80.csv""muc4d_80.csv""muc5a1_80.csv""muc5a2_80.csv"[29] "muc5b1_80.csv""muc5b2_80.csv""muc5b3_80.csv""muc6_80.csv"[33] "muc6b_80.csv""muc7_80.csv""muc8_80.csv""muc8vayno_80.csv"[37] "ttchung_80.csv"> for(j in 1:37){+ cmd<-paste("write.csv(lss.80[[",j,"]],'",CSVnames[j],"',row.names=F)",sep="")+ eval(parse(text=cmd))+ }# Resampled data set in csv format> list.files()[1] "hhexpe10_80.csv" "muc1a_80.csv""muc1b_80.csv""muc2_80.csv"[5] "muc3a_80.csv""muc3b_80.csv""muc4a_80.csv""muc4b0_80.csv"[9] "muc4b11_80.csv""muc4b12_80.csv""muc4b13_80.csv""muc4b14_80.csv"

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197[13] "muc4b15_80.csv""muc4b16_80.csv""muc4b17_80.csv""muc4b21_80.csv"[17] "muc4b22_80.csv""muc4b31_80.csv""muc4b32_80.csv""muc4b41_80.csv"[21] "muc4b42_80.csv""muc4b51_80.csv""muc4b52_80.csv""muc4c1_80.csv"[25] "muc4c2_80.csv""muc4d_80.csv""muc5a1_80.csv""muc5a2_80.csv"[29] "muc5b1_80.csv""muc5b2_80.csv""muc5b3_80.csv""muc6_80.csv"[33] "muc6b_80.csv""muc7_80.csv""muc8_80.csv""muc8vayno_80.csv"[37] "ttchung_80.csv"

Note: "hhexpe10_80.csv" is an empty file.

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Attachments
1. The questionnaire

2. Data dictionaryThe data file “hhexpe10” is not included in the resampled data set. However, the variables of“reg6” and “reg8” are appended to the data file “ttchung”.



The weight file “weight10” is not included in the resampled data set. However, the weightvariable is appended to all data files.



The identifier variables of “eaid” and “ID” are appended to all data files, and “PID” to individual
files.

The variables of “minc”, “yexp” and “mexp” estimated by the author are appended to the data
file “ttchung”, for reference.



The data dictionary of the below data files correspond to those of the second column.

Data file name

File names used in data dictionary

Remarks

muc2

muc2a1, muc2_QX_cau9_11,

The third character “a” in variable names

muc2_QX_cau12_16

should be dropped.
Ex. m2ac1 → m2c1

muc4a

muc4a1, muc4a2, muc4a3,
muc4a4, muc4a5

muc4b22

muc4b22a, muc4b22b

muc4b32

muc4b32a, muc4b32b

muc4b42

muc4b42a, muc4b42b3. Province map

Vietnam VHLSS 2010 Manual (Version 1.0)

199

Questionnaire form No.
1B-PVH/KSMS10

General Statistics Office

Provided information is
kept confidential

VHLSS 2010

Form No.

Household questionnaire
on incomes and expenditures
Province/ city..................................................................................................
Rural district/ urban district / (provincial) town....................................
Rural commune/ urban ward/ (district) township...............................
Enumeration area.........................................................................................
Area: ...................... (Urban:........1; rural:.......2)..............................................
Full name of household head (in block capital letters)...........Household No.
Ethnicity of household head......................................................................
Address............................................................................................................
Landline phone number (INCLUDE PROVINCE CODE):..........................................Mob
Interpreter employed? (yes:..........1; no:...........2).....................................................

Enumerator's full name ....................................................................Code
Full name of team leader.................................................................Code
Date

month
year 2010
Team leader(Signature)

Date

Vietnam VHLSS 2010 Manual (Version 1.0)

monthyear 2010
Enumerator(Signature)200

Participation in VHLSS is for the sake of national interests and household
benefits.

Information
obtained
fromtõhouseholdsare®-îc
keptgi÷
confidential
and
Th«ng
tin thu ®-îc
hé tuyÖt ®èikÝn, kh«ng
sö notd usedfor any
purposeotherthan
as databasefor theto chostudy
anddevelopông
cho môc
®Ýchkh¸c,mµ chØ dïnglµmState
c¬ së
Nhµ
n-íc
socio-economic
in orderstabilise
improvelivingæn
standards
ofnghiªn cøu,policies,x©y dùng
chÝnhtos¸chkinh andtÕ - x·®Þ
héi, nh»m
includingof eachhousehold.
nh vµ n©ng thecaopeople,
møc sèng
nh©n d©n,trong®ã cã møc sèng cñ
a mçi gia ®×nh

General Statistics OfficeVietnam VHLSS 2010 Manual (Version 1.0)

201

Ethnicity codes

Conversion of lunar and solar calendars

kinh

01

kh¬ mó

29

Tý (Rat)

1900

1912

1924

1936

1948

1960

1972

1984

1996

2008

tµy

02

co

30

Söu (Buffalo)

1901

1913

1925

1937

1949

1961

1973

1985

1997

2009

th¸i

03

tµ - «i31DÇn (Tiger)

1902

1914

1926

1938

1950

1962

1974

1986

1998

2010

hoa (H¸n)04ch¬ - ro32

M·o (Cat)

1903

1915

1927

1939

1951

1963

1975

1987

1999

kh¬ me

05

kh¸ng

33

Th×n (Dragon)

1904

1916

1928

1940

1952

1964

1976

1988

2000

m­êng

06

xinh - mun

34

Tþ (Snake)

1905

1917

1929

1941

1953

1965

1977

1989

2001

nïng

07

hµ nh×35

Ngä (Horse)

1906

1918

1930

1942

1954

1966

1978

1990

2002

h' m«ng (MÌo)

08

chu - ru36

Mïi (Goat)

1907

1919

1931

1943

1955

1967

1979

1991

2003

dao

09

lµo

37

Th©n (Monkey) 1908

1920

1932

1944

1956

1968

1980

1992

2004

gia-rai

10

la chÝ

38

DËu (Rooster)

1909

1921

1933

1945

1957

1969

1981

1993

2005

ng¸i

11

la ha

39

TuÊt (Dog)

1910

1922

1934

1946

1958

1970

1982

1994

2006

ª-®ª

12

Phï l¸40Hîi (Pig)

1911

1923

1935

1947

1959

1971

1983

1995

2007

ba-na

13

la hñ

41

x¬-®¨ng

14

lù

42

s¸n chay (Cao lan - S¸n chØ)

15

l« l«

43

c¬ ho

16

Chøt

44

Years ending with

0of celestial stem CanhCh¨m (Chµm)

17

M¶ng

45

-#-

1

-#-

T©n

s¸n d×u

18

pµ thÎn

46

-#-

2

-#-

Nh©m

hrª

19

c¬ lao

47

-#-

3

-#-

Quý

mn«ng

20

cèng

48

-#-

4

-#-

Gi¸p

ra-glai

21

bè y

49

-#-

5

-#-

Êt

xtiªng

22

si la

50

-#-

6

-#-

BÝnh

bru - V©n KiÒu23

pu pÐo

51

-#-

7

-#-

§inh

thæ

24

br©u

52

-#-

8

-#-

MËu

gi¸y

25

¥ ®u

53

-#-

9

-#-

Kû

c¬ tu

26

r¬ - m¨m54

giÎ - triªng

27

Foreign

55

m¹

28

Unidentified

56
Vietnam VHLSS 2010 Manual (Version 1.0)

202

Centrally administered provinces/cities
Seq Code

Names of administrative units

Seq Code

Names of administrative units

Seq

Code

Names of administrative unitsI

1

Red River Delta

III

3

Northern and Coastal Central Region

VI

6

Mekong Delta

101

Hµ Néi City

26

38

Thanh Hãa Province

51

80

Long An Province226VÜnh Phóc Province

27

40

NghÖ An Province

5282TiÒn Giang Province

327

B¾c Ninh Province

2842Hµ TÜnh Province

53

83

BÕn Tre Province

4

22Qu¶ng Ninh Province

29

44

Qu¶ng B×nh Province

54

84

Trµ Vinh Province

530

H¶i D­¬ng Province

30

45

Qu¶ng TrÞ Province

5586VÜnh Long Province

631

H¶i Phßng City

31

46

Thõa Thiªn - HuÕ Province

5687§ång Th¸p Province

733H­ng Yªn Province

3248§µ N½ng City

57

89

An Giang Province

834

Th¸i B×nh Province

33

49

Qu¶ng Nam Province

58

91

Kiªn Giang Province

935

Hµ Nam Province

34

51

Qu¶ng Ng·i Province

5992CÇn Th¬ Province

1036

Nam §Þnh Province

35

52

B×nh §Þnh Province60

93HËu Giang Province

1137

Ninh B×nh Province

36

54

Phó Yªn Province

6194

Sãc Tr¨ng ProvinceII

2Midlands and Northern Mountainous Areas

37

56

Kh¸nh Hßa Province6295

B¹c Liªu Province

1202

Hµ Giang Province

38

58

Ninh ThuËn Province

63

96

Cµ Mau Province

13

04

Cao B»ng Province

39

60

B×nh ThuËn Province

1406

B¾c K¹n ProvinceIV

4T©y Nguyªn (Central Highlands)

999

Foreign

15

08

Tuyªn Quang Province

40

62

Kon Tum Province

16

10

Lµo Cai Province

41

64

Gia Lai Province

17

15

Yªn B¸i Province

4266§¾k L¾k Province18

19

Th¸i Nguyªn Province

4367§¾k N«ng Province

19

20

L¹ng S¬n Province

44

68L©m §ång Province

20

24

B¾c Giang ProvinceV

5Southeastern Area

21

25

Phó Thä Province

45

70

B×nh Ph­íc Province

22

11§iÖn Biªn Province46

72

T©y Ninh Province

23

12

Lai Ch©u Province

47

74

B×nh D­¬ng Province

24

14

S¬n La Province48

75§ång Nai Province25

17

Hßa B×nh Province49

77

Bµ RÞa - Vòng TÇu Province

50

79

Hå ChÝ Minh City

Vietnam VHLSS 2010 Manual (Version 1.0)

Section 1A. A list of household members
1
M Pls tell full names of eachhousehold members,
e starting from the head

203

3
2
Gender of The relationship of [name] with the..[name]..
household head?

4Month and year ofbirth of ...[name]…

Household members arethose who shareeaccommodation and mealsr from 6 months or more overthe last 12 months, andshare a pool of incomes and(From (month)…...…./2009 tomonth …...…./2010)

WRITE UNKNOWN

statusof [name]? ..[name]..

Household head…………………………
Wife/husband…………………………

Child......................................………..

stayed in theAgehousehold1

rounded until

over the last2month of3

Full names are written in capital
MALE….1 Father/mother..........................................…..…4
block letters in the order of a nucleard
FEMALE..2 Paternal/maternal grandfather/grandmother…5familyo( Enumerators should pay attention
to special cases)

78
For how many Why [name] has not lived
in the household for moremonths has
than 6 months?

6
MaritalMonth of birth unknownbe

Age of[name]?

According to solar calendar

m

c

5

Write 2
digitsWrite 4
digitsPaternal/maternal grandchild ………………… 6
Other relationships…………………………….. 7

Month

Year

12 months?

Student studies
in the country………………1
Cadre studies

910

Where has [name]

In which province How long has

registeredstatus?

household has [name]registeredhouseholdIn resident area
status?

In other places inin the country………………2(aged less

Married..

2than 13

Widowed..

3(from 6 months

Newborn, new comer……………4>> question 7) Divorced..

4

or more >> Q 9)

Household head working away…5 Never having registeredmonthsthe province/city…2

Medical treatment in the>> next person
country/overseas…………3 In other province/city..3
Others………..……4

Number of years Separated....... 5 Number of months Others…………………………… 6 household status ……5 (>>11)

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

Vietnam VHLSS 2010 Manual (Version 1.0)

in this province/city?

>> next person

1

Accumulated[name] lived

in commune/ward ..1

Single…

interview

11

Province Province No. of No. of
name

code

years months

204

Section 1b. A list of domestic helps and migrant labourers
1. Does your household have (a) domestic help(s) who has/have shared meals and accommodation with the household for 6 months or more over the last 12 months?
or does your household hav anyone who has migrated, including export workers, for more than 6 months, to earn livelihood
Yes..................... 1
No....................... 2 (>> Section 2)

for the household?
2
3
4
C Pls tell full names Gende [Name] is a domestic help or arof household member workingo of those people?
[name] away?
d
e

7

5
Age of[name]?

6
MaritalThe highest qualification has[name] obtained?
statusof [name]? No qualification..................................... 0

8

9

10

For how many

Where has [name]

In which province has How long has

monthsregistered[name] registered[name] lived

has [name]household status ?

household status?

in thisPrimary school........................................ 1

stayed in theLower secondary school......................... 2householdHigher secondary school........................ 3

over the1

until monthSingle……… 1 Elementary vocational school…………… 4

last 12

Household member working away ……2of interview

Middle-level vocational school……………5

Male....1(aged less

Married………2 Professional vocational school................ 6

Sum ofFemale.2

than 13

Widowed……3 Vocational college.................................. 7

accumulated

Age rounded

Domestic help……………………….

>> question 7) Divorced……4 College................................................... 8months?

months11

province/city?
In resident area
in commune/ward…1>> next person
In other places inprovince/city…

2>> next person
In other province/city…3

Separated.... 5 University..................................………… 9

Others…………………4

MA/MSc.....................…………………… 10

Never having registered

PhD......................…………………………11household status …5 (>>11)

Others (specify___________________)…12
Write full names incapital block letters

Number of years

General education

Professionaland college-level upwards

training

31
32
33
34
35
36
37
38
39
40
41
42
The next sections do not apply to the people in this list.

Vietnam VHLSS 2010 Manual (Version 1.0)

Province
Number of months

nameProvincecode

NumberNumberof years of months

205

Grade conversion of general education systems
The general education
system forconversion
Level

Grade
1
2

Primary
3
4
5
6
Lower

7

secondary8910Highersecondary

11
12

Corresponding levels of general education (SE)From 1945 to 1954
The system
under the French ruleLíp 5 ®ång Êu(Cours enfantin)
Líp 4(Cours prÐparatoire)Líp 3 (Cours elementaire)§Ëu s¬ häc yÕu l­îc
Líp nh× n¨m thø nhÊt (Moyen1)
Líp nh× n¨m thø hai (Moyen2)
Líp nhÊt (SupÐrieur)§Ëu tiÓu häc (Certificat)§Ö nhÊt niªn trung häc(PremiÌre annÐe)§Ö nhÞ niªn trung häc(DeuxiÌme annÐe)§Ö tam niªn trung häc(TroisiÌme annÐe)§Ö tø niªn trung häc(QuatriÌme annÐe - Dipl«me)§Ö nhÊt niªn§Ö nhÞ niªn, tó tµi phÇn thø nhÊt(BaccalaurÐat premiÌre partie)§Ö tam niªn, thi tó tµi toµn phÇn(BaccalaurÐat deuxiÌme partie)

Free zone
1945-1950
1950-1954

Líp t­

Grade 1

Líp baGrade 2

Líp nh×

Grade 3

Líp nhÊt

Grade 4

§Ö nhÊt niªn§Ö nhÞ niªn

Grade 5

§Ö tam niªn

Grade 6§Ö tø niªn

Grade 7

§Ö nhÊt niªnchuyªn khoa
§Ö nhÞ niªnchuyªn khoa
§Ö tam niªnchuyªn khoa

Grade 8Grade 9Temporarily
occupied zone
Líp n¨mtiÓu häc
Líp t­
tiÓu häc
Líp batiÓu häc
Líp nh×tiÓu häc
Líp nhÊt
tiÓu häc§Ö thÊt
trung häc§Ö lôctrung häc
§Ö ngò
trung häc§Ö tøtrung häc
§Ö tam§Ö nhÞ
Tó tµi I§Ö nhÊt
Tó tµi II

Supplementary
education (SE)systemThe education systemin the North
BeforeFrom Qu¶ng B×nh northwards
1981
1981-1986 1986-1989
Vì lßng
Grade 1 (GE) Grade 1 (GE)Current
educationsystemnationwide
Grade 1 (GE)

Grade 1 (SE)Grade 1 (GE)

Grade 2 (GE)

Grade 2 (GE)

Grade 2 (GE)

Grade 2 (SE)Grade 2 (GE)

Grade 3 (GE)

Grade 3 (GE)

Grade 3 (GE)

Grade 3 (SE)Grade 3 (GE)

Grade 4 (GE)

Grade 4 (GE)

Grade 4 (GE)

Grade 4 (SE)Grade 4 (GE)

Grade 5 (GE)

Grade 5 (GE)

Grade 5 (GE)

Grade 6 (GE)

Grade 6 (GE)

Grade 5 (SE)Grade 6 (SE)Grade 5 (GE)

Grade 6 (GE)

Grade 7 (GE)

Grade 7 (GE)

Grade 7 (SE)Grade 6 (GE)

Grade 7 (GE)

Grade 8 (GE)

Grade 8 (GE)

Grade 7B (SE)Grade 7 (GE)

Grade 8 (SE)Grade 8 (GE) Grade 10 (GE) Grade 10 (GE) Grade 10 (GE)

Grade 9 (GE)

Grade 9 (SE)Grade 9 (GE) Grade 11 (GE) Grade 11 (GE) Grade 11 (GE)
Grade 10A (SE)Grade 10B (SE) Grade 10 (GE) Grade 12 (GE) Grade 12 (GE) Grade 12 (GE)Vietnam VHLSS 2010 Manual (Version 1.0)

Section 2. Education
206

Pls tell some information on education of household members.
Questions apply to all household members.
1

2Which grade has The highest qualification has
M [name][name] obtained?
completed?
No qualification................................. 0
e
m
b
e
r
c
o
d
e

Grade conversion
into the12-grade system

3

4

5

Which type of school has[name] attended?

Does [name] go

Has [name] attende At which level of education is[name]?
school over theto school now?

6

8

Which grade
is [name]
attending?

Which school does[name] attend?

past 12 months?

primary.............................................. 1
lower secondary................................ 2

Nursery, kindergarten………………0 (>>8)
Primary.......................................... 1

higher secondary............................... 3

Lower secondary........................... 2

elementary vocational school…………
4
Not yet completing middle-level vocational school……… 5
grade 1, write 0
professional school........................... 6 Public…………………… 1
vocational college............................. 7 Community-established…
2
Never going to school, college............................................... 8 Private……………………3
write 00 and >>14 university..................................………9 Semi-public………………4
MA/MSc.....................…………………10 Others (Specify)……
5
PhD......................…………………… 11
Others (specify_________________ 12
Vocational
General education andtraining
Gradecollege-level upwards

7

Yes............................. 1(>>6)
On summer vacation.. 2(>>6) Yes.......... 1
No............................ 3
No............ 2 (>>14)

Write the numberof grade thathe/she isattendingHigher secondary.......................... 3
Elementary vocational school…… 4 (>>8)
Middle-level vocational school…… 5 (>>8)
Professional school....................... 6 (>>8)
Vocational college......................... 7 (>>8)
College.......................................... 8 (>>8)
University..................................……9 (>>8)
MA/MSc.....................………………10 (>>8)
PhD......................………………… 11 (>>8)
Others (specify)
12 (>>8)

Public……………… 1
Community-established .2

Private………………3
Others (Specify)..... 4

Grade

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

Vietnam VHLSS 2010 Manual (Version 1.0)

Section 2. Education (cont'd)
9

207

10

11

Has [name] enjoyedReasons for reduction/exemption?
M reduction of
Expenditures on [name]'s education over the past 12 months for compulsory subjects in school?
e or exemption from Poor households……………………
1
m tuition fees or
Ethnic minorities……………………2b contributions
Households of fallen combatants, 3
Try to illicit breakdown information; in case of no expenditures, write 0; if unknown or not remembered clearly, write KB; if a total and some details are remembered
only, write the total and fill in relevant breakdown columns; Write kb in columns for which information is not remembered.
e to education?
war invalids, sick soldiers,
or with revolutionary merits … 4r1000 ®ång

Deep, remote,especially difficult areas……… 5cofamilies in difficultdcircumstances……………………
6ePrimary school students………… 7
School doesn't collect tuition fees 8
Yes......... 1
No.......... 2 (>>11)

Others (specify______________) 9
Tuition fees

ContributionsaTuition
fees?

b
c
d
e
f
g
h
i
k
Chargefor ContributionsParent fund Uniforms
Textbooks, Other
Coaching Other educatioTotal
sessions
following
to school,
class
and
reference study
expenditures? (a +b +...+i)a relevant
class
fund?
costumes books?
instruments? for(exam fees,
reference(construction
stipulated?
(paper, pens, compulsory travel, rent,
subjects in student bodysystem?
fund, ...)?
bags,
school?
notebooks,...)?
insurance,...)?

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
2CT. Sum of 11k and 14

Vietnam VHLSS 2010 Manual (Version 1.0)

Section 2. Education (End)
12
M
e
m
b
e
r

13

Funds received
Values offrom organisations scholarshipsthat provide aid in and rewards
education over the received overpast 12 months? the last 12
months?
(food,
accommodation,
travel, textbooks,
uniforms,…)

208

14
Expenditures forother educationand training overthe past 12
months? (foreign
languagecertificates,
shorthand typing,hairdressing,makeup,...)

15

16

The question applies tomembers aged 5 or less

How many
books/cartoon
stories does
Which of the following toys your household
have fordoes [name] play with athome?
children?
Yes…………… 1
No………………2code

If none,If none,If nonewrite 0

write 0

write 01000 ®ång1000 ®ång1000 ®ångaToysbought inshopsbSelf-madetoys

The question applies
to households withmembers aged 17 or
less. If none, write 0;
if more than 10 are
available, write 10
only.

Quantity

1
2

x

3

x

4

x

5

x

6

x

7

x

8

x

9

x

10

x

11

x

12

x

13

x

14

x

15

x
2tn. Sum of 12 and 13:

Vietnam VHLSS 2010 Manual (Version 1.0)

209

Section 3. Healthcare

1. Has anyone in your household visited medical establishments or had home visits by physicians for check-ups and treatment over the last 12 months?

No................... 2 (>>9)(including health and pregnancy checks, abortion, insertion of intrauterine device, birth delivery... in case of no sickness/diseases/injuries)

M
e
m
b
e
r

2
Names ofusers ofmedicalservicesover thelast 12months?

3
Which medical establishments
has [name] visited? (including
inviting physicians home)
Village/hamlet clinics............................. 1
Commune/ward clinics……………………2
Regional general clinics........................ 3
Urban/rural district hospitals…………… 4
Provincial/city hospitals......................... 5
Central hospitals.................................... 6

Yes.................. 1

4
Reasons for [name] to visit medical establishments?

5
6
7
Number of visits andNumber and costs of visits for
Did the household afford
resident treatment of [name] over the medical
costs for healththe past 12 months? Costs
checks/non-resident
check/treatment fortreatment of [name] over include hospital fees and others [name]?
(allowances for physicians,the past 12 months
charges for on-demand services,(costs include fees forpurchase of additional medicines,
check-ups, treatment,
facilities, travel for caring,...)
medicines, allowances
relating to the visits for checkfor physicians, travel,
ups/treatment)
Vaccination.............................................................................................
1 purchase of facilities,...
Pregnancy checks, insertion of intrauterine devices, abortion, birth delivery.. 2 relating to visits for
Health checks and consultancy ...................................................................... 3 check-up/treatment)cOther state-run hospitals....................... 7oPrivate hospitals………………………… 8dOther hospitals……………………………9e

Private practice ..................................... 10 Medical treatment............................................................................................ 4
Traditional herbal physicians................. 11
Individual medical services ………………
12(If none, write 0)(If none, write 0)

Yes, it did …

(>>the next visit/person)

Other medical establishments............... 13
Sequence

Medicalnumberestablishment code8
If it did have some
but not enough or
didn't afford, did
you have to sell
products, assets,
or borrow, orwithdrawsavings/shares/co
ntributions to
informal savings
funds, or collectdebts to pay costsof the medical
check/treatment?
If yes how much?
....1

Cost
Number of visits1000 ®ång

Vietnam VHLSS 2010 Manual (Version 1.0)

Cost
Number of visits1000 ®ång

Write 0 if none

It had some but not enough… ….2
No………………………………3

1000 ®ång

210

Section 3. Healthcare (end)Pls tell some information on health insurance cards or free healthcare booklets/cards/certificates of household members.
Questions apply to all household members
M 9
10
11
Over the past 12
Which one does [name] have?
How much hasemonths,hasmbooklet/card for children aged 6 or less . . . . . . . . . . 1(>>12) [name] spent on
health insurance[name] had abhealth insurance card for the poor . . . . . . . . . . . . . . 2(>>12)
over the past 12
health insuranceehealth insurance card for the near-poor . . . . . . . . . . 3(>>12) months?
card or a freerfree healthcare booklet/card/certificate……………… 4(>>12)
healthcare
booklet/card/certifi health insurance card for policy beneficiaries…………5(>>12)
cate?
cother compulsory state-run health insurance card……
6(>>12)oother compulsory non-state health insurance card …7(>>12)

dVoluntary health insurance card for students ……… 8e

Yes……… 1

Other voluntary health insurance card ……………… 9

No............ 2 (>>13)

Others…………………………………………………… 10

12
13
Has [name] used the How much has yourhealth insurance cards household spent onpurchasingor free healthcare
booklets/cards/certific medicines without
check-ups
ates during visits for(prescriptions) forcheck-ups andself-treatment or
treatment over the
reserves over the
past 12 months?
past 12 months?
(including
expenditures on
Yes…………1
medicines andothers, such as
No.............. 2
travel vehicle-(if none, write 0)

14
15
How much has yourHow much inhousehold spent on
cash and kind haspurchasing medical
your household
facilities over the last 12 received over themonths? For instance, past 12 months
sthethoscopes, bloodas aid forpressure monitors,
members who arehearing aids, phlegm
sick/injured/absorbers, medicine
contracts acabinet, clinicaldisease?
thermometers, cotton,
bandage, compresses...

(if none, write 0)(if none, write 0)(if none, write 0)1000 ®ång1000 ®ång1000 ®ång

2

x

x

x

3

x

x

x

4

x

x

x

5

x

x

x

6

x

x

x

7

x

x

x

8

x

x

x

9

x

x

x

10

x

x

x

11

x

x

x

12

x

x

x

13

x

x

x

14

x

x

x

x

x

x

the first

the second

1000 ®ångOut-service In-service

1

15
3ct. Healthcare
expenditures
3ct3. Sum for Q11
Vietnam VHLSS 2010 Manual
1.0) + Q13 + Q14)
(3ct1 +(Version
3ct2 + 3ct3

3tn. Sum for Q15

211

A list of occupations(1) Leaders/managers from sectors and organisations, at different levels(5) Service and sales staff

11 Agencies of the Communist Party of Vietnam at central and local levels (full-time posts)

51 Personal service staff

12 The National Assembly and Office of the State President

52 Sales staff

13 The Government

53 Personal care staff

14 People's courts and people's prosecutorates

54 Security service staff

15 Local people's councils and people's committees (including locally run specialized divisions,(6) Skilled labourers in agriculture, forestry, and fisheries

excluding legal affairs divisions and mass organizations)

61 Labourers with market-demanded skills in agriculture

16 Mass organizations; Vietnam Fatherland Front; Labour Confederation; Women's Union;

62 Labourers with market-demanded skills in forestry, fisheries and hunting

Farmers' Union; Youth Union; Veterans' Association;

63 Labourers in agriculture, fisheries, hunting and collection of farm produce for self-subsidy

17 Private organisations; humanitarian organizations; organizations for other particular benefits;(7) Manual labourers and related occupations

18 Major organisations (groups, general corporations and the like)71 Construction-related workers (except electricians)

19 Small organisations (companies, businesses, and enterprises, small schools)

72 Metal smiths, mechanics and other workers related(2) High-level experts in the following areas:

74 Electricians and electronics workers

21 Natural sciences and technology

75 Workers in food-processing, woodwork, garment making, and other handicrafts, and other workers related

73 Handcrafters, and printing-related workers

22 Healthcare
23 Education and training(8) Machine assembling and operating workers

24 Business and management

81 Operators of fixed machines and equipment

25 IT and communication

82 Machine assembling workers

26 Legal, cultural and social affairs

83 Vehicle drivers and operators of moving equipment(9) Low-skilled labourers(3) Average-level experts in the following areas

91 Cleaners and domestic helps

31 Technicians in science and technology

92 Low-skilled labourers in agriculture, forestry and fisheries

32 Technicians in healthcare

93 Workers in mining, construction, industry, and transport

33 Business and management

94 Assistants in food preparation

34 Legal, cultural and social affairs

95 Street-based and sales-related labourers

35 Technicians in IT and communication

96 Waste collectors and other low-skilled labourers

36 Average-level teachers(0) Members of the armed forces(4) Office staff

01 Officers

41 General officers and desk-based officers

02 Non-officers

42 Customer service staff

03 Other members of the armed forces

43 Data and input enumerators
44 Other office assistants

Vietnam VHLSS 2010 Manual (Version 1.0)

212

Section 4. IncomesPart 4A. Employment and salaries and wages
These questions concern all household members aged 6 or more.

The most time-consuming (main) employment over the last 12 months

M
e
m
b
e
r

1

2

3

4

5

Over the past 12 months, have you…
a
b
c
taken
been involved inbeen involved in
waged/salaried production or
production, businessemployment? services regarding or services of the
production,
household?
husbandry, forestry
and aquaculture forthe household?

havingWhich job has been the mostjob?

time-consuming of …[name]…

Names of employer (if any) anddescription of main tasks andproducts of employer where …
[name]…has/had taken that job?

Has …
For how[name]…
many days
taken that has …
job over the [name]past 30
taken thisdays?
job thesedays (orover thelast 30days) ?

code

Self-engagement inproduction, business,
services outside
agriculture, forestry,
aquaculture

Waged/
salaried
employment

Self-employment
in agriculture,
forestry,
aquaculture

Yes...........1

Yes...........1

Yes...........1

No.....2

No.....2

No.....2over the last 12 months?
(Yes - code 1
in Question 1)

a. For how
many days
has …[name]
Occupation… taken this Job description
code
Yes...........1 job over thelast 12
No.....2
th ?of days(>>27) Number

Vietnam VHLSS 2010 Manual (Version 1.0)

Names ofemployer

6

7Onaverage, for
how many
hours a day
has …
[name]
taken thisjob during
theseworkingdays?

Description of
employer'
Industry codemaintasks/products
Yes...........1
No.....2

Day(s)

Hour(s)A list of industries

213
PRODUCTION AND DISTRIBUTION OF ELECTRICITY, GAS, HOT WATER, STEAMAGRICULTURE, FORESTRY AND AQUACULTURE
Agriculture and related services (crop production: 0110, husbandry: 0140, and01
agricultural services: 0160)
02 Forestry and related services

AND AIR-CONDITIONERS
35

Production and distribution of electricity, gas, hot water, steam and air conditioners

05 Exploitation of hard coal and lignite

36

Exploitation, treatment, and supply of water

06 Exploitation of crude oil and natural gas

37

Water drainage and treatment of waste water

03 Aquaculture production and exploitation
WATER SUPPLY; MANAGEMENT AND TREATMENT OF SEWERAGE AND WASTEMINING AND QUARRYING

07 Exploitation of metal ores

38

Waste collection, treatment and disposal activities; recycling of waste

08 Other mining and quarrying

39

Treatment of pollution and other activities of waste management

09 Mining supporting services
PROCESSING AND MANUFACTURING INDUSTRIESCONSTRUCTION
41

Construction of houses of various kinds

10 Foodstuff production and processing

42

Construction of technical civil works

11 Beverages production

43

Special-use construction activities

12 Production of cigarette products

WHOLESALE, RETAIL, AND REPAIR OF AUTOMOBILES, MOTORBIKES,

13 Textiles

SCOOTERS AND OTHER MOTORIZED VEHICLES

14 Costume production

45

Sales and repairs of automobiles, motorbikes, scooters, and other motorized vehicles

15 Production of leather and related products

46

Wholesale (except automobiles, motorbikes, scooters, and other motorized vehicles)

Wood-processing and making of wood and bamboo products (except beds,
16
wardrobes, desks, chairs);

47

Retail (except automobiles, motorbikes, scooters, and other motorized vehicles)

making products from straw and plaiting materials

TRANSPORT, WAREHOUSE

17 Producing paper and paper-based products

49

Transport by railways, roads, and pipelines

18 Printing and reproduction of recorded media

50

Waterway transport

19 Production of coke coal and refined oil products

51

Airway transport

20 Production of chemicals and chemical products

52

Warehouse and supporting activities for transport

21 Production of medicines, pharmaceutical chemicals and materials

53

Postal and delivery services

23 Manufacturing of products from other non-metallic minerals

55

Accommodation services

24 Production of metals

56

Food and beverages services

26 Manufacturing of electronic products, PCs and optical products

58

Publication activities

27 Manufacturing of electrical equipment

59

Cinematographic activities, production of TV programs, recording and

22 Manufacturing of rubber and plastic products

SERVICES OF ACCOMMODATION, FOOD AND BEVERAGES

25 Manufacturing of products from cast metal (except machines and equipment)

INFORMATION AND COMMUNICATION

28 Manufacturing of unclassified machines and equipment

musical publication

29 Manufacturing of motorized vehicles and truck trailers

60

Broadcasting activities

30 Manufacturing of other transport vehicles

61

Telecommunications

31 Manufacturing of beds, cabinets, desks and chairs

62

Computer programming, consulting services and other activities

32 Other processing and manufacturing industries
33 Repair, maintenance, and installation of machines and equipment

relating to computers
Vietnam VHLSS
2010 Manualservices(Version 1.0)
63 Information

A LIST OF INDUSTRIES (end)214

ACTIVITIES OF THE COMMUNIST PARTY AND SOCIO-POLITICAL ORGANIZATIONS,STATE MANAGEMENT, PUBLIC SECURITY

FINANCE, BANKING, AND INSURANCE
64 Financial services, except insurances and social insurance
65 Insurances, re-insurance, and social insurance, except compulsory social assurance

AND DEFENSE; COMPULSORY SOCIAL ASSURANCE
84

66 Other financial activities

Activities of the Communist Party and socio-political organisations,state management, public security and defense; compulsory social assurance
EDUCATION AND TRAINING

BUSINESS IN REAL ESTATES

85

68 Business in real estates
PROFESSIONALISM, SCIENCE AND TECHNOLOGY

Education and training
HEALTHCARE AND SOCIAL ASSISTANCE

86

Healthcare

69 Legal, accounting and auditing activities

87

Concentrated care and nursing

70 Activities of head offices; management consultancy

88

Non-concentrated social assistance

71 Architecture; technical check and analysis

ARTS, RECREATION AND ENTERTAINMENT

72 Scientific research and development

90

Creative, arts and entertainment activities

73 Advertising and market research

91

Library, archive, museum and other cultural activities

74 Other professional, scientific and technological activities
75 Veterinary activities
ADMINISTRATION AND SUPPORTING SERVICES

92

Lottery, betting and gambling

93

Sports, recreation and entertainment

77 Leasing of machinery and equipment (without operators) andof personal and household utensils; and leasing of intangible non-financial assets

78 Labor and employment services

OTHER SERVICES
94

Activities of other associations and organizations

95

Repair of computers and personal and household utensils

96

Other personal services

79 Travel agency, tour operator and

HOUSEHOLD EMPLOYMENT GENERATED BY HOUSEHOLDS;

other supporting services relating to tour promotion and organization

HOUSEHOLD SELF-PRODUCTION AND SELF-SERVICES

80 Investigation for safety reasons

97

Household employment generated by households;

81 Services of cleaning houses, works, and public spaces

98

Household self-production and self-services;99

ACTIVITIES OF INTERNATIONAL ORGANIZATIONS AND BODIES
Activities of international organizations and bodies

82 Office administration and support, and other business-supporting activities

Vietnam VHLSS 2010 Manual (Version 1.0)

215

Section 4A. Employment, salaries, and wages (cont'd)
The most time-consuming (main) job over the last 12 months?

8

9

10

For which organizations/individuals has [name] worked?

Has [name]How much inreceived
cash and kindsalaries, wages has [name]for this job?
received fromthis job overb. Is [name]the past 30
a public employee
days (or overthe last 30
public ordays) ?
civil servant?

m
e
m
b

a. Economic types?

e
r

12

11

a

Farming, forestry, aquaculture households/individuals …1(>>9)

dIndependent production and business households………2(>>9)

eCollective…………………………………………………… 3(>>9)
Private……………………………………………………..

4(>>9)

State-run……………………………………………………. 5
Foreign-invested…………………………………………… 6(>>9)

Yes............1
No......2

Yes………
1
No………2 (>>14)

thousand §ångbaFestive occasions, Others (bonuses,
Signing a
payroll(1/5, 2/9, 22/12, uniforms, lunch,
Lunar TÕt …)
allowances for busines book?
trips, sickness,labor accidents,
pregnancy ...)

c
o

13

How much inOver the past 12 months, how much inIn this job, has [name] beensalaries/wages, inc cash and kind, apart from salaries/wages entitled tothat in kind, has from this job, has [name] received from[name] received the following:from this job overthepast
12 if none, write 0months?

thousand §ång

Vietnam VHLSS 2010 Manual (Version 1.0)

thousand §ång

thousand §ång

Yes...........1
No....2bcPaid leave Social/ holidays? insurance?

Yes...........1
No....2

Yes...........1
No....2

Section 4A. Employment, salaries/wages (cont'd)

216

The second most time-consuming (supplementary) employment over the last 12 months

14
m
e
m
b

15

Has [name] What is the second most time-consuming job (after the
taken anymain one) taken by [name] over the past 12 months?
other jobs ov

16

17

Names of employer (if any) and description of maintasks and products of employer where …[name]…hasperformed that job?

Has…[name] During
During… performed these days thesethis job over (or during working
the last 30 days, on
the past 30days), for andays?
how many averagedays has day, for…[name] how…
many
performed hours
this job?
has[name]
performe
d thisjob?

the last 12
months?

era. For how
many dayshas [name]performed
this job overthe past 12
months?

co

Job description

Occupation
code

Name of employer

Description of maintasks/products of employer

Industry
code

18

19

d
e
Yes.........1
No ....2(>>27)

Yes............1
No......2

Number of days

Vietnam VHLSS 2010 Manual (Version 1.0)

Day(s)

Hour(s)Section 4A. Employment, salaries, and wages (cont'd)

217

The second most time-consuming (supplementary) job over the last 12 months

20
For which organizations/individuals
M has [name] worked?
e
m
b
e
r

21

22

Has [name]How much inreceived salaries, cash and kind
wages for this job? has [name]received fromthis job over the
past 30 days (orover the last 30days) ?

co

Farming, forestry, aquaculture househol 1dIndependent production and business ho2eCollective……………………………………3
Private………………………………………4
State-run……………………………………5
Foreign-invested……………………………
6

Yes………1
No……… 2 (>>25)

Thousand §ång

23

25

24

26

Over the last 12 months, how much in Apart from the Howmuch
How much inhassalaries/wages, includingcash and kind, apart fromforegoing jobs, money
salaries/wages from this job, hasthat in kind, has
has [name] taken[name][name] received from the following:received from[name] received
any otherjobs?
from this job oversalaried/waged these
(from
the
third
the last 12 months?
jobs?
If none, write 0
job
onwards)
months?
baFestive occasionsOthers (bonuses,(1/5, 2/9, 22/12, uniforms, lunch,
Lunar New Year allowances for businesstrips, sickness,labor accidents,
pregnancy ...)
Thousand §ång

Thousand §ång

Thousand §ång

Vietnam
VHLSS 2010 Manual (Version 1.0)4ATN4. Sum of Q24a 7 24b
4ATN3. Sum
of Q23

Yes.........1
No ..2(>>27)

Thousand ®ång

4ATN5. Sum of Q26

Section 4A. Employment and salaries/wages (end)218

These questions apply to respondents aged 15 or more

Pensions, unemployment allowances, and one-off severance pays

27
m
e
m
b
e
r
c
o

28

Has [name]
Which allowances/benefits is [name] entitled to and how much has he/she received overreceived
the past 12 months?
unemployment
benefits, one-off
if none, write 0
severance pays, a.
b. One-offc. standard pension d. Prematuree. Allowance forat a stipulated age
pensions,
Unemployment severance pay
pensionloss of working
allowance for loss allowancecapacityof working
capacity over the
past 12 months?

de
Yes…………….....1
No…………..2(>>Next respondent)

thousand ®ång

thousand ®ång

thousand ®ång

thousand ®ång

thousand ®ång

4ATN6. Sum (28a+28b+28c+28d+28e)
4ATN. Incomes from salaries, wages, pensions and allowances (4ATN1+4ATN2+4ATN3+4ATN4+4ATN5+4ATN6)

Vietnam VHLSS 2010 Manual (Version 1.0)

219

M
e
Names of householdmmembers

b
e
r

c
o
d
e

Age

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Vietnam VHLSS 2010 Manual (Version 1.0)

220

4B. Farm, forestry and aquaculture activities

4B0. Farm land, forestry land and aquaculture water surface
1. Has your family used or managed farm land, forestry land or aquaculture surface water over the last 12 months?

Yes…………
1(regardless of rented and rented-out land over the last 12 months and including gardens and ponds adjacent to residential landNo………… 2 (>> 4B1)
Now, I would like to ask you about all types of land that members of your family use or manage.
Order 2
3
4
Which of the following types of lands does yourHow much area ofHow much has beenfamily use or manage?
land does your family paid in cash and inuse or manage?
kind for land rental or
procurement over thelast 12 months?
Cross off if yes
Question 2 applies to all types of land before moving to
Questions 3 - 5

X

M2

5
The revenues in cash or inkind from renting out land overthe last 12 months?

If NONE, WRITE 0

IF NONE, WRITE 01000 VND

1000 VND

1 Annual crop land
2 Perennial crop land
3 Forestry land
4 Water surface
5 Gardens, ponds adjacent to residential land
6 Shifting-cultivation farmland
7 Others (specify:______________________________)

4BOTN. Sum of Q5

Vietnam VHLSS 2010 Manual (Version 1.0)

221

4B. Farm, forestry and aquaculture activities
4B1. Cultivation

1a. Has your family harvested any products from cultivation over the last 12 months?

Yes………………… 1 (>>Question 2)
No……………………2

1b. Are there any impacts of natural disasters, diseases, etc. which have caused loss in production? Yes.......................... 1 (>> 4b1.6)
No........................... 2 (>> 4B2)

4B1.1. Riceor2Which types of rice have yourfamily harvested over the last 12
months?

3
What is thecultivatedarea of […]over the last
12 months?

d

e
r

4
5
How much […] How much ofhave your[…] harvested
familyhas been lost
harvested over to pests, rot
the last 12
and any othermonths?
reasons?

6
7
8What is the value ofHow much of […]What are thethe output harvested
harvested have you put proceeds fromover the last 12
to sale or barter oversales or barter ofmonths?
the last 12 months?
[…] over the last 12
months?
All the times of selling theharvest output in the last 12
monthsIF DETAILS ARE FILLED OUT FROMROWS 1 - 4, THERE IS NO NEED FOR A
TOTAL ON ROW 5; IF IT IS IMPOSSIBLE
TO WORK OUT DETAILS, JUST FILL IN A
TOTAL ON ROW 5

If none is sold or bartered, fillin 0 and >>8

Cross off if it is the caseX
1

Winter-Spring plain rice?

2
3

Summer-Autumn plain rice?
Autumn-Winter plain rice?

4

Upland plain rice?

5

Annual total of plain rice?

6

Annual total of sticky rice?

7

Annual total of specialty rice?

M2

KG

KG

KG

thousand VND

4B11T. Sum of Q8
Vietnam VHLSS 2010 Manual (Version 1.0)

thousand VND

4B1.2. Staple food crops, non-staple food crops, and otherannual crops
222
2

3

4

Which of the following crops has

On how much

How much […] have youHow much of […] harvested The total revenues

5

6

7
What is the value

your family harvested over the last area have you

harvested over the last have you put to sale or bartefrom sale or barter of […] of the output harvested

12 months?

12 months?

grown […]?

over the last 12 months?

over the last 12 months? over the last 12 monthsOr
Ask Question 2

All times of selling or bartering

before moving onto Question 3

outputs harvested over the last 12demonths are counted.

r
If none is sold or bartered
fill in 0 and >>7
cross off if any
M2

KG

KG

19 Seasoning herbxx

20 Other edible vegetables, fruits and rootsxx

21 Other annual crops (green, black and red bean, flowersxx

thousand VND

X
8 Maize (corn)
9 Sweet potato
10 Cassava/manioc
11 Other staple food crops
12 Potato
13 Morning glory vegetable
14 Kohlrabi
15 Cabbage, cauliflower
16 Cruciferous vegetables
17 Edible beans
18 Tomato

Vietnam VHLSS 2010 Manual (Version 1.0)

4B12T. Sum of Q7

thousand VND

4B1.3. Annual and perennial industrial crops
23Which of the following crops has
The cultivated areas or
your family harvested over the last
the number of seedlings
12 months?
[…] that your household

223

4
5
6
7
How
much
of
[…]
The
total
revenues
How much […] have you
What is the value of the output
harvested over the last harvested have you put to from sales or barter of harvested over the last 12 months?
sale or barter over the last […] over the last 12
12 months?
12 months?
months?

has looked after or grown
for the product?

Ord(All times of selling or barteringe

Ask Question 2

outputs harvested over the lastr

before moving onto Question 3

12 months are counted)

If none is sold or bartered,code
m2:………………
1
cross off if any

unit………….

X

Quantity

fill in 0 and >>7

2
KG

KG

x

x

x

x

thousand VND

code

22 Soya bean/soybean

1

23 Peanut/groundnut

1

24 Sesame1

25 Sugarcane

1

26 Tobacco, rustic tobacco

1

27 Cotton

1

28 Jute, ramie (China grass)1

29 Sedge

1

30 Other industrial annuals

1

31 Tea32 Coffee
33 Rubber
34 Pepper
35 Coconut
36 Mulberry1

37 Cashew
38 Other industrial perennials

Vietnam VHLSS 2010 Manual (Version 1.0)

4B13T. Sum of Q7

thousand VND

224

4B1.4. Fruit trees
2
Which of the following crops has
your family harvested over the last
O 12 months?
r3
What is the output
from the acreage orquantity of […] your family
tend to or cultivate?

4
5
6
7
How
much
of
[…]
The
total
revenues
fromHow much […] have you
What is the value of the output
harvested over the last harvested have you put to sales or barter of […] over harvested over the last 12 months
sale or barter over the last the last 12 months?
12 months?
12 months?

de(All times of selling or bartering
Ask Question 2

the outputs harvested over the

before moving onto Question 3

last 12 months are counted)r
code

If none is sold or bartered,

m2:………………1

fill in 0 and >>7

unit::……………2

cross off if any

KG

KG

52 Other fruit treesxx

53 Other perennialsxx

54 Seedlings

x

x

X

quantity

thousand VND

code

39 Citrus
40 Pineapple
41 Banana
42 Mango, horse mango
43 Indian jujube
44 Grape
45 Plum
46 Papaya
47 Longan, lychee, rambutan
48 Sapodilla
49 Sugar-apple, soursop
50 Jackfruit, durian
51 Mangosteen

Vietnam VHLSS 2010 Manual (Version 1.0)

4B14T. Sum of Q7

thousand VND

225

4B1.5. Revenues from harvested by-productsO1r

Has your family used or sold […] over the last 12 monthsWhat are the revenues fromHow much value of […]d

Ask Question 1 before moving onto Question 2

e

2

3

X

5

How much value of […]What is the total value

sales of […]have been used as animal feehave been used for other purpo of by-products harvested

over the last 12 months?

by your family

by your family

over the last 12 months?

over the last 12 months?

Cross off if any

r4

thousand VND

thousand VND

1Rice straw

2

Sweet potato leaf and stem

3

Maize or cassava stem

4

Bean stem

5

Sugarcane bud and leaf

6

Jute and ramie stemsx

7

Mulberry stemx

8Firewood (from agricultural crops)x

9

Other by-products

thousand VND

10 Collected products
4B15T. Sum of Q5
4B1T. Total revenues from crop production(4B11T+4B12T+4B13T+4B14T+4B15T)

Vietnam VHLSS 2010 Manual (Version 1.0)

over the last 12 months?
(2+3+4)thousand VND

4B1.6. Costs of cultivation

226e

1. On which of the following items has your family spent for the products
2. How much has your family spent on the following crops?
harvested over the last 12 months? (including purchase, barter, selfIf none, fill in 0; if details are not remembered, fill in KB and the total cost in the 'Total' column
subsidy, and gift, etc.; not including collected items not counted in incomesof whicha. Riceb. Staple food c. Industrial
d. Fruit trees and e. Total)
crops
cross off if any
other trees except (a + b + c + d)e1. State e2. Other
and other nonsubsidy
assistancex
forest trees
staple food cropsr

Ask Question 1 before moving onto Question 2ord

1 Seeds
2 Seedlings
3 Chemical fertilizers (nitrate, phosphate, potash, NPK, etc...)4 Organic fertilizer (self-supplied)5 Organic fertilizer (outsourced)
6 Pesticide
7 Herbicide
8 Small tools, cheap and undurable objects (sickle, scythe, hoe, shovel, etc)
9 Energy, fuel9.1 Electricity
9.2 Coal
9.3 Coal briquette
9.4 Petrol
9.5 Kerosene
9.6 Mazut oil
9.7 Diesel oil
9.8 LPG
9.9 Natural gas
9.10 Firewood
9.11 Other energy and fuels
10 Small repairs, maintenance
11 Fixed asset depreciation
12 Land rental and procurement
13 Hire of assets, machines, vehicles and mechanical work; hire of transport
14 Hire of ploughing cattle
15 Paying outsourced labour
16 Inner-field irrigation
17 Payment of interest on loans taken out for production
18 Other costs (charges, post, advertisement, marketing, production insurance,
plant protection fund, field improvement fund, agri-extension fund,administration management fund, feed for ploughing cattle, etc)

thousand VND

thousand VND

thousand VND

thousand VND

X

X

X

X

Total costs of crop production (Sum of Q2e)

Vietnam VHLSS 2010 Manual (Version 1.0)

thousand VND thousand VND thousand VND

X

X

X

227

4b1.7 Quantity of fertilizer used by the household for plants
O 1. Types of fertilizer

2. Paddy rice plants 3. Other food crops 4. Industrial crops

5. Fruit trees androther types of trees,d

except forest trees

6. Total( 2 + 3 + 4 + 5)

e
r

KG

KG

1 Nitrogenous fertilizer
2 Phosphorous fertilizer
3 Kali
4 NPK
5 Other fertilizers

Vietnam VHLSS 2010 Manual (Version 1.0)

KG

KG

KG

228

Calculation of animal feed values(Enumerators calculate these before filling in column 8 of Section 4B2.2 Costs of husbandry)
1 Values of feed
Animals

2 Values of purchased 3

self-subsidized by the feed
householdthousand ®ångTotal
(1 + 2 )thousand ®ång

1. Pig(s)2. Buffalo(es), cow(s)3. Horse(s)4. Goat(s), sheep
5.Chicken
6. Duck(s), goose/geese
7. Other poultry
8. Bees
9. Silk worms
10. Others (specify)

Vietnam VHLSS 2010 Manual (Version 1.0)

thousand ®ång

4B2. ANIMAL HUSBANDRY AND HUNTING, TRAPPING, DOMESTICATION OF BIRDS
AND ANIMALS
229
1a. Has your family raised or possessed animals, poultry and livestock; or harvested from hunting, trapping and domestication

YES...........1 (>> QUESTION 2)

of birds and animals over the past 12 months?

NO............ 2

1b. Have natural disasters and epidemics... damaged production?

YES...........1 (>> 4b2.2)
NO............ 2 (>> 4B3)

4B2.1. Revenues from husbandry, hunting, trapping and domestication of birds and animals
2o Which of the following productsr

has your family obtained?

d

CROSS OFF IF ANY

e Ask question 2 beforer3x

How much of […..]

4
How much of which have your sold,u

has your familybartered, paid as wages

nobtained over the last or given away over the last 12 months?

obtained overi

12 months?

the last 12 months?

ta. Quantity

b. Value

5
What is the valueof the output

If nonemoving onto question 3

fill in 0

1 Porkkg

2 Beef and water buffalo meatkg

3 Horsemeatkg

4 Goat meat, sheep meat (lamb, hogget, mutton)

kg

5 Chickenkg

6 Duck, Muscovy duck and goose meatkg

7 Other poultry meatkg

8 Piglethead

9 Calf and water buffalo calf

headquantityand >>5

10 Other young animals and poultry
11 Other raised animals(bear, deer, rabbit, dog, etc)

x

x

x

x

x

x

12 Poultry egg (chicken, duck, etc)egg

13 Fresh milk

liter

x

x

14 Silk cocoonkg

15 Honey of kept beeskg

16 Other animal products (not slaughtered)x

17 Other outputs from husbandry

x

x

x

18 Animal by-product19 Products from hunting, trapping, anddomestication of birds and animals

x

x

x

x

x

x

thousand vnd

4B21T. Sum of Q5, from rows 1 to 18 (revenue from livestocks)
Vietnam VHLSS 2010 Manual (Version 1.0)

4B22T. Sum of Q5, row 19 (revenue from hunting)thousand vnd

4B2.2 COSTS OF HUSBANDRY, HUNTING, TRAPPING AND DOMESTICATION OF
230 BIRDS AND ANIMALS
Pls tell us about costs of husbandry for products you have obtained over the last 12 months (including self-subsidy, sales, barter, and gift).
If none, fill in 0; if details are not remembered, fill in KB; if only a total and some details are remembered, , fill in the total and available details in relevant columns and KB for those with no information.

O

7
8Young animals, Feed

9
MedicinesR

poultry,

for animals

Dand livestock

Start fillingand poultry

10. Energy and fuelaElectricity

b
Coal

c
Coal

d
Petrolefgh
Kerosene Mazut oil Diesel oil LPG

briquettei
NaturalgasjkFirewood Others

in from theE'total' columnRin calculation
table
thousand VND

thousand VND thousand VND thousand VNDthousand VNDthousand VNDthousand VNDthousand VNDthousand VNDthousand VNDthousand VNDthousand VNDthousand VNDthousand VND

1 Pig/swine
2 Cattle, water buffalo
3 Horse4 Goat, sheep
5 Chicken
Duck, Muscovy duck,
6 goose7 Other poultry
8 Honey bee
9 Silkworm
Other products of
10 husbandry (specify)
Products fromhunting, trapping and
11 domesticationxVietnam VHLSS 2010 Manual (Version 1.0)

4B2.2 COSTS OF HUSBANDRY, HUNTING, TRAPPING AND DOMESTICATION OF BIRDS
AND ANIMALS (END)
231
11
O

Water

r
d
e
r

Thousand VND

12Depreciation

16
17
18
19
Payment of Business Other costs
Total(cheap, nonof fixed assets and procurement machines , outsourced interest on tax
durables, charges, (7 +…+ 18)
vehicles,
labor
loans
post, advertising,marketing,slaughter,for
production
and transporthusbandry
insurance, etc)

Thousand VND

13Land rental

Thousand VND

14Hiring of15
Pay forThousand VND Thousand VND Thousand VNDThousand VND

1 Pig/swine
2 Cattle, water buffalo
3 Horse4 Goat, sheep
5 Chicken
Duck, Muscovy
6 duck, goose
7 Other poultry
8 Honey bee
9 Silkworm
Other productsof husbandry
10 (specify)
Products fromhunting,trapping and
11 domestication
4B21C. Sum of Q19, from rows 1 to 10 (cost of husbandry)
4B22C. Sum of Q19, row 11 (cost of hunting)Vietnam VHLSS 2010 Manual (Version 1.0)

Thousand VND

Thousand VND

4b3. Agricultural services

232

1a. Has any member of your family owned machines, equipment and tools for agricultural services over the last 12 months?

YES.............. 1(>>question 2)(such as for ploughing, soil preparation, irrigation, pest prevention and control, rice threshing, semi-processing,and other services such as artificial insemination and castration of animals and poultry, etc)

No................ 2

1b. Have natural disasters and epidemics… damaged production?

Yes................. 1 (>> 4b3.2)

No................ 2 (>> 4B4)

4b3.1. Revenues from agricultural service activities
2. Which of the following activities

3. How many monthso have brought your family revenues? of activities over
CROSS OFF IF ANY the last 12 months?
rd

4. How much have you 5. Total revenues
earned per monthon average?

(3 x 4)x

Ask question 2 before

e moving onto question 3.
r

Number of months

thousand VND

1 Ploughing and soil preparation
2 Irrigation
3 Pest prevention and control
4 Rice threshing, semi-processing
5 Other services (artificial
insemination, castration, etc)
4B3T. Sum of Q5 (revenue from agricultural services)

Vietnam VHLSS 2010 Manual (Version 1.0)

thousand VND

4b3.2. Costs of agricultural service activities
233remembered, fill in KB)
Pls tell the costs you have incurred for agricultural service activities over the last 12 months? (If none, fill in 0; if details are not
6. On which of the following activities
O has your family spent?

7. Cost of
materialsrdcdCoal briquette Petrole
Kerosenef
Mazut oil

CROSS OFF IF ANYiNaturalgasjkFuelwood Others

moving onto question 7
1,000 VND

1,000 VND

1,000 VND

1,000 VND

1,000 VND

1,000 VND

1,000 VND

1,000 VND

1 Ploughing and soil preparation
2 Irrigation
3 Pest prevention and control
4 Rice threshing, semi-processing
5 Other services (artificial
insemination, castration, etc)

10. Small

11. Fixed

12. Renting ofO has your family spent?

repairs,

asset

workshop floor, outsourced of interestsrmaintenance depreciation

6. On which of the following activitiesd

CROSS OFF IF ANY

e Ask question 6 beforerghDiesel oil LPG

xe Ask question 6 beforer

8. Small tools, 9. Energy, fuel
cheap
a
b
Coal
non-durables Electricityxmachines,

13. Pay for 14. Payment 15. Business
labor

tax

on loans forvehicles,agricultural

assets,serviceand means ofactivities

transport

moving onto question 7
1,000 VND

1,000 VND

1,000 VND

1,000 VND

1,000 VND

1,000 VND

17. Total

16. Other costs
cost(charges, post,
advertising,(7 + ….+ 16)
marketing,production,
insurance, feed forbreeding male swine
etc)
1,000 VND

1,000 VND

1 Ploughing and soil preparation
2 Irrigation
3 Pest prevention and control
4 Rice threshing, semi-processing
5 Other services (artificial
insemination, castration, etc)
4B3C. Sum of Q17 (cost of agricultural services)

Vietnam VHLSS 2010 Manual (Version 1.0)

1,000 VND 1,000 VND 1,000 VND

1,000 VND 1,000 VND

234

4b4. Forestry
1a. Over the past 12 months, has your household earned revenues from planting/management/protection/attending of forests, breeding forest trees,collecting products from forests, harvesting forest trees (bamboos, wood, firewood,…including those in home gardens); or forestry services?

Yes.................... 1 (>>Question 2)
No...................... 2

1b. Have natural disasters, epidemics, … damaged production?

Yes.................... 1 (>> section 4b4.2)
No...................... 2 (>>section 4B5)

4b4.1. Forestry revenues
2. From which of the following products/activities has
C your household earned revenues?
ode Question 2 applies to all trees before moving

3. Values of outputs/revenues from activities over the past 12 months?

4. Out of which, how much

Try to illicit information for columns as much as possible; in case of no revenues, fill in 0; if unknown or not remembered, fill in KB;

is for sales or exchange?

if unknown or not remembered clearly, fill in KB; If only a total and some details are remembered, fill in the total and details of the relevant columns;

In case of no sales

Mark with x if yes fill in KB for columns whose information is not remembered.
thousand ®ångx

to question 3

a. Production
b. Productionc. Protectiond. Protection
e. Other forest land
forest land allocated forest land not yet
forest land allocated forest land not yet
to household
allocated to household to household
allocated to household

1 Vernicia montana, camellia sasanqua tree
2 Cinnamon tree
3 Anise4 Pine tree
5 Shellac tree
6 Wood tree
7 Bamboo
8 Palm tree
9

Water coconut tree

10 Other forest trees (Specify______________________)
11 Firewood
12 Planting, looking after, improvement of forests?
13 Breeds of forest trees and products collected from forests?
14 Other forestry services (forest protection, forestry management,...)

4B4T. Sum of Q3f (revenue from forestry)

Vietnam VHLSS 2010 Manual (Version 1.0)

or exchange, fill in 0

f. Total(a+b+c+d+e)
thousand ®ång

235

4b4.2. Costs of forestry activities and services
Pls tell about costs of products gained over the past 12 months (including costs incurred by self-subsidy, purchase, exchange, being given,...)
1. Seeds,

2. Fertilizers

If details are not remembered, write KB andseedlings

of various kindscheap, low-quality a. Electricity b. Coal
goods

fill in the total in column 14

Unit: thousand ®ång

3. Small instruments4. Energy, fuelIf none, write 0;c. Coalbriquette

d. Petrole.
Kerosenef. Mazut(oil)g. Diesel(oil)

1. Forestry activities
2. Forestry servicesxx

If none, write 0;

5. Small

6.Depreciation 7. Rent

If details are not remembered, write KB andrepair,of fixed

fill in the total in column 14

maintenance assets

and use of
procured land

8. Rent ofassets andmachines,
rentedmeans of

9. Rent of 10. Costs of 11. Payment 12. Business13. Other 14. Total
ploughing outsourcedof loancattleinterests

labor

tax

costs

costs

(1 + ... + 13)

1. Forestry activities
2. Forestry services

4B4C. Sum of Q14 (cost of forestry)

Vietnam VHLSS 2010 Manual (Version 1.0)

h. LPGi. Natural j. Fire-wood k.
gasOthers236

4b5. Aquaculture
1a. Over the past 12 months, has any one from your household kept, bred fish, shrimps or other aquatic products;
caught aquatic products from lakes, ponds, rivers, springs and seas; or earned revenues from aquaculture services?
1b. Have natural disasters, epidemics, … damaged production?

Yes............................ 1 (>>Q 2)
No............................. 2
Yes............................ 1 (>> section 4b5.2)
No............................. 2 (>>section 4c)4b5.1. Revenues from aquaculture
3. Total catch
4. Sales, exchange, payment for labor, donation
over the past 12
over the past 12 months?
months?

2. From which of the following products hasOyour household earned revenues?

5.Total values of
products gained over the
past 12 monthsrdMark with x if yesera. Quantityxb. Value

If none,Question 2 applies to all products before moving
to question 3

fill in 0 >>5kg

kg

thousand ®ång

thousand ®ång

x

x

x

x

1.3 Breeding fish, shrimpsxx

1.4 Other aquaculture (specify_________________)

x

x

x

x

x

x

2.3 Other aquaculture (specify_________________)

x

x

3

x

x

1

Aquacultural productionx

1.1 Fish
1.2 Shrimps

2

Aquacultural catchx

2.1 Fish
2.2 Shrimps

Aquacultural services

4B5T. Sum of Q5 (revenue from aquaculture)

Vietnam VHLSS 2010 Manual (Version 1.0)

237

4b5.2. Costs of aquaculture-related activities

Pls tell about costs of aquaculture production for products gained over the past 12 months (including costs incurred by self-subsidy, purchase, exchange, being given,...)
Try to illicit information for columns as much as possible; in case of no information, fill in 0; if unknown or not remembered, fill in KB;
If only a total and some details are remembered, fill in the total and details of the relevant columns; fill in KB for columns whose information is not remembered.

6. Breeds o 7. Feed

8. Small

9. Energy, fuelinstruments, a. Electricity

aquaculture

cheap,

b. Coalc. Coalbriquette

d. Petrole. Kerosene

f. Mazut(oil)g. Diesel h. LPG(oil)

i. Natural j. Fuelgaswood

10. Salt,
k. Others ice water

low-quality
goods

thousand vnd thousand vnd

thousand vnd

thousand vnd

thousand vnd thousand vnd thousand vnd

thousand vnd

thousand vndthousand vndthousand vndthousand vndthousand vndthousand vndthousand vnd

1 Aquaculture production
2 Aquaculture catch
3 Aquaculture services

19. Total
17 18. Other
costs
costs
repair,Depreciatio and use of
assets and machinesof
payment
Business(preventive/tre
maintenanc of fixed
procured land rented means of
outsourcedfor loans for tax(7 + ... +atment18)
assetstransport
laboraquaculturemedicines,
charges,post,
relatedads,
activities
marketing,

11. Small12 13. Rent

thousand vnd thousand vnd

thousand vnd

14. Rent of

thousand vnd

15. Costs 16. Interest

thousand vnd thousand vnd thousand vnd

thousand vnd

1 Aquaculture production
2 Aquaculture catch
3 Aquaculture services
4b5c. Sum for Q19 (costs of aquaculture)

Vietnam VHLSS 2010 Manual (Version 1.0)

thousand vnd

238

4c. Domains of production and business, non-agricultural, forestry and aquaculture services; processing of agricultural, forestry and aquatic products
Pls tell some information on activities of production and business, non-agricultural, forestry and aquaculture services; processing of agricultural, forestry and aquatic products
Yes.................................... 1
1. Has your household had any activities of your own production and business, non-agricultural, forestry andNo...............................
aquaculture services; processing of agricultural, forestry and aquatic products over the past 12 months?
2 (>>part 4d)4c1. Revenues from production and business, non-agricultural, forestry and aquaculture services; processing of agricultural, forestry and aquatic products
2. Pls tell details of these activities
Orderof
If the household has more than 4 activities, the fourth
sectoral activity onwards is included in line 1
activities

3. Number ofmonths ofactivity overthe past 12
months?

4. Do you orhouseholdmembers
possess thisentire activity?

5. How many
households
including yours
possess thisactivity?

6. Percentage ofincome yourhousehold hasreceived fromthis activity?
Write 100 if code 1
is a response toquestion 4

Yes...........1(>>6)

Sectoral
Description of sectoral activities

code

Number of months No...2

Number of households%

7. Has this activity
registered forbusiness?
(In case of commercial

8. Are products ofthis activity for sale,exchange, or service
supply?

activity >>9)
Yes, by type ofenterprise................................. 1
Yes, by type ofindividual household business ... 2

Yes............1

No............................................... 3

No....2 (>>13)

16. Values of
products used orsold by thehousehold over the
past 12 months?

17. Total revenues

12
3
4
9. Among activities10. Revenue
over the past 12 over the past 12
months?
Order months, what isofan average revenue(c3 x c9)
sectoral per month of thisactivities activity?
(In case of

11.Has your househol 12. Values of 13. Have any
14. Values of
15. Have any
exchanged products exchanges oveproducts ofproducts used or by-products ofof this activity forthe past 12
this activity been consumed by the this activity beenother goods and servi months?
used or consumehousehold over th used or soldover the past 12
by the householdpast 12 months? by the household
months?
over the pastover the past
12 months?
12 months?

(c10+c12+c14+c16)

18. Total revenues
divided by household(s)((c10 x c6):100) +(C12 + C14 + C16)

commercial

Thousand ®ång

activity >>15)

Yes............1

Thousand ®ång

No.....2 (>>13)

Yes.........1
Thousand ®ång No..2 (>>15)

Yes.........1
Thousand ®ång

No...2 (>>17)

1
2
3
4
Note: A revenue of commercial activity does not include the value of commodity capital.

Vietnam VHLSS 2010 Manual (Version 1.0)

Thousand ®ång

Thousand ®ång

Thousand ®ång239

4c2. Costs of production and business, non-agricultural, forestry and aquaculture services; processing of agricultural, forestry and aquatic products
Pls tell costs of your household's activities of production and business, non-agricultural, forestry and aquaculture services; processing of agricultural, forestry and aquatic products
over the past 12 months (including expenditures from self-subsidy, purchase, exchange, gift,...).
Only costs of products sold, exchanged, supplied for service, used or consumed are counted.

19
Main andOrder minor
materialsof20
21. Energy, fuelSmall, cheap, a. Electricity b. Coal
undurable
tools

22. Waterc. Coalbriquette

d. Petrole.
Kerosenef. Mazut(oil)g. Diesel (oil)h. LPGi. Natural gas j. Firewood k.Others

sectoralactivities
Thousand ®ång

Thousand ®ång Thousand ®ångThousand ®ångThousand ®ångThousand ®ång
Thousand ®ång
Thousand ®ång Thousand ®ång

23
Minor repair,maintenance24
25
Depreciation Rent ofof fixed assets land,
workshops,
shops,
machinesand othermeans ofproduction

Thousand ®ång

Thousand ®ång Thousand ®ångThousand ®ångThousand ®ångThousand ®ång
Thousand ®ång
Thousand ®ång Thousand ®ång

Thousand ®ång Thousand ®ång Thousand ®ång
Thousand ®ångThousand ®ång

1
2
3
4

Order
of
sectoralactivities

26
Transport(rents andcharges)27
28
Costs ofLoan
labourinterests(salaries,
wages;
socialinsurance;
healthinsurance;
trade
unionsexpenses;.
)

29
Taxes,
fees andchargesregardedas taxes

30
Costs oftreatmentof sewage
and solid
waste

31
32
33
Other costs
Total costs Total costs(post, travel,
divided byadvertisement, (C19+...+C31) household(s)marketing,(C32 x C6):100
purchase ofdesigns,survey fordesign,production
insurance,...)

Thousand ®ång Thousand ®ång1
2
3
4
Note: A revenue of commercial activity does not include the value of commodity capital.

4CCT. Total cost of activities (sum of Q32)
4CC. Total revenue from activities divided by households (sum of Q33)

Vietnam VHLSS 2010 Manual (Version 1.0)

240

4d. Other revenues included in incomesPls give some information on other household revenuescode

1. Has anyone in your household, over the past 12 months, received cashor kind from the following sources?

2. Values received
over the past 12 months?

Mark x if any

Question 1 applies to all revenues
before moving to question 2

x

c
o
d
e

1. Has anyone in your household, over the past 12 months, received cashor kind from the following sources?
Mark x if any

Question 1 applies to all revenues
before moving to question 2

xx

Thousand ®ång

101

Cash and kind sent as a gift or aid for domestic use by nonmembers of the household from overseas

Out of the total:- Cash and kind (value) for domestic use sent as a gift or aid byrelatives residing and working overseas temporarily.......................
1012 - Gift of housing...............................................................................
1013 - Gift of automobile(s) for domestic use .........................................
1014 - Other gifts of assets for domestic use...........................................
Cash and kind (value) for domestic use sent as a gift or aid by
102 non-members of the household from within the country1011

Out of the total:

Thousand ®ång

103 Wedding cash gifts after deducting expenses of guests' food and drinks
104 Funeral cash tributes after deducting expenses of guests' food and drinks
Social benefits for war invalids, families of fallen combatants, andindividuals/families with revolutionary merits
106 Social benefits for beneficiary households of social policies
107 Assistance to overcome natural disasters and fire
108 From types of insurance (excluding social, health and life insurance)
Interests of savings deposits, stocks, shares, lending, contributed capital
109

105

Revenues from renting out workshop floors, machines, assets andfacilities not included in sections of sectoral production and business(except housing, farming and forest land, and water surface foraquaculture production)
Revenues as donations from organizations, humanitarian aid,
111 associations and units of production and business …
110- Cash and kind (value) for domestic use sent as a gift or aid by
1021 relatives who work as seasonal laborers in the country…
1022
1023
1024

- Gift of housing...............................................................................
- Gift of automobile(s) for domestic use .........................................
- Other gifts of assets for domestic use...........................................

2. Values received
over the past 12 months?

112 Others (Specify________________________________________)

4DTN. Sum of Q2 items (other revenues)

Vietnam VHLSS 2010 Manual (Version 1.0)

241Weight conversion of some food and foodstuff and other consumer goods
A. Food

B. Foodstuff

1kilo of paddy rice ~ 0.7 kilo of rice

1 kilo of fresh lard ~ 0.7 kilo of liquid lard

1kilo of broken-rice powder ~ 0.7 kilo of rice

1kg of live-weight chicken ~ 0.85 kg of dead-weight chicken

3 kilos of sweet potato/fresh cassava

1 kg of live-weight pork ~ 0.7 kg of dead-weight pork ~ 0.6 kg of pork with fat removed~ 1 kilo of dried sliced sweet potato/cassava

1 kg of live-weight beef ~ 0.4 kg of dead-weight beef
1 kg of live-weight buffalo meat ~ 0.3 kg of dead-weight buffalo meat
3 kilos of fresh shrimps, fish ~ 1 kilo of dried shrimps, fish
1 kg of sugar molasses ~ 0.5 kg of refined sugar
250 grams of milk powder ~ 1 can of condensed milk (395 - 400g)
5 kilos of fresh tea buds ~ 1kilo of dried tea buds
4.6 kilos of fresh coffee nuts ~ 1kilo of dried coffee nuts
~ 0.7 kilo of coffee powder (roasted and ground)

Vietnam VHLSS 2010 Manual (Version 1.0)

242

Section 5. Expenditures
5A. Expenditures on food and drinks
5A1. Expenditures on food and drinks on festive occasions
Now pls tell about expenditures on festive occasions, such as the Lunar New Year, Christmas, Independence Day, the fifteenth day of the first and seventh lunar months, Mid-aut(special festive occasions of ethnic minorities, such as chol chnam thmay of the Kh'mer people, . . . )1
Unit 2
3
Which of the following items has of Purchase or exchang Self-subsidy, gift, donation
your household consumed on fest m
C occasions over the past 12 month e ABABoa Quantity Value?
Quantity? Value?
deMark with x if yes
X
Question 1 applies toall items before moving
to questions 2-3

s[…]?
u If none,r write 0
e and >> 3
ment

thousand®ång

If none,write 0 and>>nextitem>> next item

thousand®ång

1
Which of the following items has
your household consumed on
festive occasions over
C the past 12 months?
odeQuestion 1 applies toall items before moving

Unit 2ofme

101 Fragrant plain rice, specialty rice? Kg
102 Sticky rice?

Kg

139 Sugar, molasses?

Kg

110 Pork (with fat removed)?

Kg

140 Confectionery?

Kg

111 Beef?

Kg

144 Alcohol of various kinds?

Litre

112 Buffalo meat?

Kg

145 Beer of various kinds?

Litre

113 Chicken meat?

Kg

Liter

114 Duck and other poultry meat?
Other types of meat? (goats,
115 dogs, sheep, wild animals,
birds,...)
Processed meat? (boiled
116 pork pies, fried pork pies,
roasted pork, sausages,...)

Kg

Bottled, canned, boxed
beverages?

118 Fresh shrimp, fish?

Kg

120

Other aqua-products andseafood? (crabs, snails,...)

X

X

X

X

X

X

X

X

B

A

B

Value?

Quantity?

Value?

thousand®ång

If none,write 0 and>>nextitem

X

X

151 Cigarettes, tobacco for water pipes X

X

X

153 Outdoors meals and drinks?

X

X

X

Other meals and drinks?
154 (Other food and foodstuff,
additives, seasonings, ...)

X

X

X

146

X

A

a Quantity[…]?
Mark with x if yes su If none,Xr write 0
e and >> 3
ment

to questions 2-3
134 Fruits?

X

3
Purchase or exchangeSelf-subsidy, gift, donatio

148 Coffee?

Kg

150 Dried tea?

Kg>> next item

thousand®ång

Eggs of chickens, ducks,
121 Muscovy ducks, and geese?

Egg

5A1CT. Sum

4. Sum of Q2B

5. Sum of Q 3B

124 Beans of various kinds?

Kg(Q4 + Q5)

(Codes 101 to 154)

(Codes 101 to 1

Vietnam VHLSS 2010 Manual (Version 1.0)

243

5a2. Recurrent expenditures on food and drinks
1
Apart from festive occasions, parties, engagement parties,
C weddings, funerals and major death anniversaries over the
past 30 days, which of the following items has yourhousehold consumed:

Units 2of

How much has yourhousehold consumed
over the past 30 days?

3. Consumed quantity ofpurchase or exchange

Breakdown
4. Consumed quantity ofself-subsidy

5. Consumed quantity of gift,
donation, present

A. In case of noquantity, write 0>>4

A. In case of
no quantity,
write 0 >>5

A. In case of noquantity, write 0>>nextodeQuestion 1 applies to all categories of items/items
before moving to questions 2-5

Mark with x if yes mea
X sureA. Quantity

B. Valuement
thousand ®ång

101 Plain rice? (including fragrant and specialty rice)Kg

102 Sticky rice?

Kg

103 Maize? (in seed equivalent)

Kg

104 Cassava? (in fresh-type equivalent)

Kg

105 Potato of various kinds? (in fresh-type equivalent)

Kg

106 Wheat grains, bread, wheat powder?

Kg

107 Flour noodle, instant rice noodle/porridge?

Kg

108 Fresh rice noodle, dried rice noodle?
109 Vermicelli?
110 Pork? (in equivalent of the pork type with removed fat)111 Beef?
112 Buffalo meat?

B. Value
thousand ®ång

B. Value
thousand ®ång

Kg
324
323
321
320
319
318
313
317
316
315
314
312
311
310
309

Kg
Kg
Kg

324
323
321
320
319
318
313
317
316
315
314
312
311
310
309

Kg

113 Chicken meat?

Kg

114 Duck and other poultry meat?
Other types of meat?
115(goats, dogs, sheep, wild animals, birds,...)
Processed meat (boiled pork pies, fried pork pies,
116 roasted pork, sausages,...)

Kg

117 Lard, cooking oil?

Kg

118 Fresh shrimp, fish?

Kg

119 Dried and processed shrimps, fish?

Kg

120 Other aquatic products and seafood? (crabs, snails,...)

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

121 Eggs of chickens, ducks, Muscovy ducks, geese?

Egg

122 Tofu?

Kg

123 Peanuts, sesame?

Kg

Vietnam VHLSS 2010 Manual (Version 1.0)

B. Value
thousand ®ång

5a2. Recurrent expenditures on food and drinks (cont'd)
1
Apart from festive occasions, parties, engagement
C parties, weddings, funerals and major deathanniversaries over the past 30 days, which of theo following items has your household consumed:deUnits 2ofMark with x if yes mea
Question 1 applies to all categories of items/items
X surebefore moving to questions 2-5

244

How much has yourhousehold consumed
over the past 30 days?

Quantity

Value

ment
thousand ®ång

124 Beans of various kinds?

Kg

125 Fresh peas of various kinds?

Kg

126 Morning glory vegetables?

Kg

127 Kohlrabi?

Kg

128 Cabbage?

Kg

129 Tomato?
130 Other vegetables? (gourd, winter melon,
cucumber, cabbage, squash...)Kg

131 Orange?

Kg

132 Banana?

Kg

133 Mango?
134 Other fruits? (rambutan
melon, papaya, guava, litchi, grapes,...)

Kg

135 Fish sauce?

Liter

136 Salt?

Kg

137 MSG?

X

3. Consumed quantity ofpurchase or exchange

Breakdown
4. Consumed quantity ofself-subsidy

5. Consumed quantity ofgift, donation, present

A. In case of noquantity, write 0>>4

A. In case of
no quantity,
write 0 >>5

A. In case of
no quantity,
write 0 >>next

B. Value
thousand ®ång

B. Value
thousand ®ång

X

X

X

X

X

X

X

X

X

X

X

X

X

138 Glutamate?

X

X

X

X

X

139 Sugar, molasses?

Kg

140 Confectionery?

Kg

141 Condensed milk, milk powder?

Kg

142 Ice cream, yoghurt?

X

X

X

X

X

143 Fresh milk?

Liter

144 Alcohol of various kinds?

Liter

145 Beer of various kinds?

Liter

X

Vietnam VHLSS 2010 Manual (Version 1.0)

B. Value
thousand ®ång245

5a2. Recurrent expenditures on food and drinks (end)1Apart from festive occasions, parties, engagement
C parties, weddings, funerals and major deathanniversaries over the past 30 days, which of theo following items has your household consumed:ofMark with x if yes mea
X suredeUnits 2

Question 1 applies to all categories of items/items
before moving to questions 2-5

How much has yourhousehold consumed
over the past 30 days?

Quantity

Value

ment
thousand ®ång

3. Consumed quantity ofpurchase or exchange

Breakdown
4. Consumed quantity ofself-subsidy

5. Consumed quantity ofgift, donation, present

A. In case of noquantity, write 0>>4

A. In case of
no quantity,
write 0 >>5

A. In case of noquantity, write 0>>nextB. Value
thousand ®ång

B. Value
thousand ®ång

B. Value
thousand ®ång

146 Bottled, canned, boxed beverages?
(pure water, carbonated drinks, juice,fruit smoothies, pep drinks,...)

Litre

147 Instant coffee?

X

148 Coffee powder?

Kg

149 Instant tea powder?

X

150 Other dried tea?

Kg

151 Cigarettes, waterpipe tobacco?
152 Betel leaves, areca nuts, lime, betel pieces?
153 Outdoors meals and drinks?
(breakfast, lunch, dinner)?
154

Other food and drinks? (other processed food andfoodstuff, additives, seasonings, ...)

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

6.Sum for Q3b

7.Sum for Q4b

5a2ct. Sum for question 2b(codes 101-154)(codes 101-154)

Vietnam VHLSS 2010 Manual (Version 1.0)

(codes 101-154)

8.Sum for Q5b(codes 101-154)

246

5b. Expenditures on non-food items and other expenditures
5b1. Daily expenditures
1

1

2
Breakdown
How much 3.
4.
5.
has your
Consumed Consumed Consumed
household quantity of quantity of quantity of
consumed purchase selfgift,
over theorsubsidy
donation,
Mark with x if yes past 30
exchangepresent
X
days?

Which of the following items has
C your household consumed overo the past 30 days?

C

d

d

e

o
e

Question 1 applies to all items

2
Which of the following categories of items Trong 3How much/items/expenditures has your household
has yourconsumed over the past 30 days?
householdconsumed
over theMark with x if yes past 30
X
days?

3. Consumed
quantity ofpurchase or
exchange

Breakdown
4. Consumed
5. Consumed
quantity of self- quantity of gift,
subsidy
donation, present

Question 1 applies to all items

before moving to questions 2-5

before moving to questions 2-5
thousand ®ångthousand ®ångthousand ®ångthousand ®ång

201 Pocket money for children?

thousand ®ång

thousand ®ång

thousand ®ång

thousand ®ång215 Soap/ detergent, softening solution?

202 Coal?
203 Coal briquette?

216

204 Petroleum?

Dish washing liquid, floor-cleaning
liquid?

205 Kerosene?

217 Shampoo, conditioner?

206 Mazut oil?

218 Bath soap, shower gel?

207 Diesel oil?
208 LPG?

219

Skin-nourishing cream, powder andlipsticks, perfume, hair gel,..?

209 Natural gas?

220 Tooth paste and brush?

210 Firewood, husk, sawdust?
Farm by-products? (straw,
sugar cane leaves,
211
maize/jute/hemp/seagrass
stems,…)
212 Other types of fuel?

221 Toilet paper, razor?

213 Deposit fees for vehicles?
(bicycle, scooter,automobiles)
214 Matches, candles, fire stones, lighters?

222 Books, newspapers, magazines for adults?
223 Books, newspapers for children?
224 Fresh flowers?(excluding worship flowers)
225 Lottery tickets?
226 Regular worship activities?
227 Hair cut, hair dressing
228 Other daily expenditures?

Vietnam VHLSS 2010 Manual (Version 1.0)5b1ct. Sum for Q2

6. Sum for Q3

7.Sum for Q4

8.Sum for Q5(codes 201-228)(codes 201-228)(codes 201-228)(codes 201-228)

247

5b2. Annual consumption

C

1

2

3

1

2

3

Which of the following items has your household
consumed over the past 12 months?

Consumedvalue ofpurchase or
exchange

Consumed
quantity ofself-subsidy,
gift, donation,
present

Which of the following items has your household
consumed over the past 12 months?

Consumedvalue ofpurchase or
exchange

Consumed
quantity ofself-subsidy,
gift,
donation,present

If noneIf nonewrite 0

write 0thousand ®ång

thousand ®ångodMark with x if yeseX
Question 1 applies to all itemsCodbefore moving to questions 2-3

Mark with x if yesXe

If noneIf nonewrite 0

write 0thousand ®ång

thousand ®ång

Question 1 applies to all items
before moving to questions 2-3

301 Fabrics?

318 Inner tubes, tires, and spare parts of bicycles?

302 Garment? (including underwear)

319 Inner tubes, tires, and spare parts of scooters, automobiles?

303 Anti-mosquito nets and cotton gauze?

320 Maintenance and repair of household utensils?

304 Kerchiefs, turbans, scarfs of various kinds?

321 Travel expenditure? (including fees for boats, ferries, and others)

305 Mats, blankets, bed sheets, pillows, curtains, table-cloth?

322 Paintings, photos, ornamental plants?

306 Other garment accessories? (needle, thread, socks,...)

323 Sports facilities?

307 Fees of tailoring, washing and ironing?

324 Adult toys?

308 Shoes, slippers, wooden underfoot?

325 Child toys?

309 Plastics, conical hats, hats, umbrellas of various kinds?

326 Envelops, postal stamps, postal fees?

310 Electrical appliances: light bulbs, electrical

327 Fees of phone subscription, calls, and repairs

cords, plugs, fuses,...?

328 Internet (costs of installation, subscription, access)Ceramics and glassware: bowls, plates,
311 teapots, cups,...?

Expenditures on plastic (cosmetic)
329 surgeries, gym exercises?

312 Pots, saucepans, frying-pans, barrels, buckets?

330 Entertainment (cinemas, music, video, sports)?

313 Thermos, inner thermos?

331 Domestic holidays?

314 Bags?

332 Overseas holidays?

315 Torches, batteries for lighting, TVs, radio?

333 Watches, eyewear, jewellery?

316 Hammock, cradles, cots, prams?

334 Expenditures on other cultural activities?

317

335 Hiring domestic helps?

Other expenditures on household utensils? (notincluding durables) (Specify____________________)

336 Other annual expenditures? (Specify_______________)
5b2ct. Sum(question 4 + question 5)

Vietnam VHLSS 2010 Manual (Version 1.0)

4.Sum for Q 2

5. Sum for Q 3(codes 301-336)(codes 301-336)

248

5b3. Other costs as expenditures
1
C
o

2

On which of the following items has your household spent moneyover the past 12 months?

Expenditures […] overMark with x if yes the past 12 months?

deQuestion 1 applies to all items

X

before moving to question 2
thousand ®ångFees and charges on administrative and legal
400 services for daily-life requirements (certificates ofmarriage, birth, and death, notary services…)
Fund contributions? (funds in aid of natural
401 calamity victims, for charitable activities, poverty
reduction, study encouragement,...)
402 Cash contributions in lieu of public labor and other obligations?

403

Taxes of various kinds (except production taxes), e.g. PIT, andtaxes for transfer of use rights of houses and residential land?

Engagement and wedding parties of the
404 household (after deducting expenditures on
guests' food and drinks)?
Funerals and death anniversaries of the household (after
405
deducting expenditures on guests' food and drinks)?
406

Organization of parties and entertaining activities? (birthdays,
opening ceremonies, guest reception,...)

407

Gift, donation, assistance, tributes, contributions to deathanniversaries… to other households? (in cash and kind)499

Including: expenditures on former household members' study or
medical treatment overseas

Other expenditures?(damages for other people, non-student
408 body insurance, traffic insurance, housing and assets
insurance,...)
5b3ct . Sum for question 2(codes 400 - 408)
Vietnam VHLSS 2010 Manual (Version 1.0)

249

Section 6. Durables
1. Pls tell which of the following durables does your household have?
Code

Names of durables

Mark with x

CodeNames of durables

Mark with x

if yesif yes1 Automobile(s)20 Computer(s)2 Motorbike(s)21 Camera(s), video recorder(s)3 Bicycle(s)22 Refrigerator(s)4 Ship(s), boat(s), junk(s), outer part with a motor

23 Air conditioner(s)5 Ship(s), boat(s), junk(s), outer part without a motor

24 Washing machine(s), (clothes-) drying machine(s)6 Other means of travel

25 Electric fan(s)7 Pumping machine(s)26 (Bath) water heater(s)8 Electricity generator(s)27 Gas cooker(s), magnetic cooker(s)9 Printer(s)28 Electric cooker(s), electric rice cooker(s), pressure cooker(s)10 Fax machine(s)29 Trolleys of various kinds

11 Landline telephone(s)30 Cupboard(s), cabinet(s), wardrobe(s) (of various kinds)

12 Mobile telephone(s)31 Bed(s)13 Sewing machine(s)32 Desk(s), chair(s), long bench(es), dressing table(s)14 Video player(s), DVD player(s), digital player(s), satellite antenna

33 Vacuum cleaner(s), dehumidifier(s), water filter(s)15 Color TV(s)34 Microwave oven(s), baking oven(s)16 Black and white TV(s)35 Juice extractor(s), citrus juicer(s)17 Music rack of various kinds

36 Piano(s), keyboard(s)18 Radio/radio-cassette player(s)37 Others (Specify___________________________)

19 Disk player(s)Vietnam VHLSS 2010 Manual (Version 1.0)

250

6. Durables (cont'd )
N

2

3

4

5

6

u

Names of durables your household haspurchased or received or self-produced
over the past 10 years

Quantity?

When did your household
purchase or receive or selfproduce it?

Value at purchase
reception, selfproduction?

Remaining value

m

e
r
l
i

Fill in all 4 digits for yearne

in current price?

Enumerators fill in this In 2009 - 2010, fill in both month andcolumn only in case of year; otherwise, only year is filled in.
Only ask about
many durables of the
durables bought,
same kind, value, andreceived, selfmoment of purchase

b

Code

Month

Year

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18

Vietnam VHLSS 2010 Manual (Version 1.0)

produced over the
past 12 months.
Thousand ®ång

Thousand ®ång

251

6. Durables (end )N

2

3

Names of durables your household has
Quantity?
purchased or received or self-produced over them past 10 years
u

4

5

e
r
l
i
n

past 12 months.
Code

Month

Year

Thousand ®ång

19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36

7. Sum for question 5

Enumerators fill in In 2009 - 2010, fill in both month
this column only in and year; otherwise, only year iscase of many
filled in.
Only ask about
durables of the same
durables bought,
kind, value, andreceived, selfFill in all 4 digits for year
moment of purchaseproduced over the

b

e

6

When did your household Value at purchas Remaining value
purchase or receive or
reception, selfself-produce it?
production?
in current price?

Vietnam VHLSS 2010 Manual (Version 1.0)

Thousand ®ång

If none, write 0
thousand ®ång

252

Section 7. Housing
Pls tell some information on your household's accommodation.
1. In how many houses/flats does your household actually live?
In case of no house, write 0 >> 14

Number of houses/
flats

2. Total residential area? (all houses where the household lives are counted)
Bedrooms, dining rooms, living rooms, study rooms, play rooms are incl m2
Bathrooms, toilets, kitchens, warehouses, business areas are not included.
An attic is considered 50%.
Questions 3-5 apply to the main house.
3. Which is the main material as poles (or pillars, or carrying walls) of the house where yourhousehold lives now?
(Enumerators should concurrently observe it)
Reinforcement concrete ........................................................................... 1
Bricks/stones............................................................................................. 2
Iron/steel/good wood................................................................................. 3
Poor-quality wood/bamboo....................................................................... 4
Others (specify_________________________________)....................... 5

6. Does your household pay rents? (in cash or kind)Yes............... 1
No................. 2(>>9)
7. How much have you spent on rents over the past 12 months?
(both in cash and values of kind)
thousand®ång

8. What is the duration of the existing rental contract?
(including a verbal contract)

Number ofmonths

9. If the whole accommodation were now put on sale, how much do you think
it would be worth?
thousand®ång

4. Which is the main material as roofing of the house where your household lives now?
(Enumerators should concurrently observe it)
Reinforcement concrete............................................................................ 1
Tiles (cement, terracotta).......................................................................... 2
Roof slabs (cement, metal)....................................................................... 3
Leave/straw/rolled roofing......................................................................... 4
Others (specify_________________________________)....................... 5

10. Apart from your current living place, does your household have any other residential land lots or houses?
Yes............... 1
No................. 2(>>13)

5. Which is the main material as walls or surroundings of the house where your household lives now?
(Enumerators should concurrently observe it)
Reinforcement concrete............................................................................ 1
Bricks/stones.......................................................................................... 2
Wood/metal..........................................................................................
3
Calcareous soil/straw................................................................................ 4
Bamboo partitions/hardboards.................................................................. 5
Others (specify_________________________________)....................... 6

12. How much has your household received from leasing residential land and houses
over the past 12 months?
thousand[in cash and kind (value)]®ång

11. Does your household receive rents from those residential land lots or houses?
Yes............... 1
No................. 2(>>13)

13. Expenditures on house repair and maintenance over the past 12 months?
(including painting but not major improvement and upgrade)
If none, write 0
thousand®ång

Vietnam VHLSS 2010 Manual (Version 1.0)

253

Section 7. Housing (end)
14. Which is the main drinking water supply of your household?

18. Which is the main lighting in your household?

tap water reaching the house . . . . . . . . . . . . . . . . . . . . . 1
public tap water. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
drilled well . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
protected dug well . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
unprotected dug well . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
protected stream water . . . . . . . . . . . . . . . . . . . . . . . . . . 6
unprotected stream water . . . . . . . . . . . . . . . . . . . . . . . . 7
Bought water (in bottles, jars, or small vehicles…)
8
rain water . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
Others (specify:________________________________)10
15. Do you treat drinking water by:a. boiling?

b. a filter or chemicals?

National-grid electricity............................................ 1
Battery or generator or small-scale-hyrdo electricity 2Gas, oil lamps of various kinds ...............................3
Others (specify: __________________________).. 4
19. For the last month, how much money has your household spent on electricity for daily consumption
and how many KWs has your household consumed for daily activities?

thousand®ång

Yes...................... 1
No........................2

KW

20. How much money has your household spent on electricity for daily activities over the past 12 months?
thousand®ång

Yes...................... 1
No........................2

16. How much money has your household spent on water for drinking and other daily activities
over the past 12 months (excluding
thousand ®ångbottled purified water counted in the section
on expenditures on food and drinks)?
If none, write 0
17. Which toilets does your household use?
septic/semi-septic tank........................................ 1
suilabh.................................................................2
double septic tank............................................... 3
fishing bridge....................................................... 4
Others................................................................. 5
None................................................................... 6

21. How has your household treated daily-life waste over the past 12 months?
Somebody else collects it .............................................................1
Dumping into ponds, lakes, rivers, streams...................................2
Dumping in a nearby site ............................................................. 3
Landfill burial ................................................................................ 4
Burning......................................................................................... 5
Others (specify___________________________)........................ 6
22. How much money has your household on collection of daily-life waste
over the past 12 months?
If none, write 0
thousand®ång

23. Total expenditures on housing, electricity, water, waste(c7 + c13 + c16 + c20 + c22)

Vietnam VHLSS 2010 Manual (Version 1.0)

254

Section 8. Participation in Aid Schemes
Enumerators interview all households.

1. Have the local authorities classified your household as 'poor' in the commune/ward in the following years?
Year 2006 2007 2008 2009 2010

Yes................................................. 1
No.................................................. 2

2. In 2009 - 2010, has your household benefitted from the project/policy [….]?
Yes................................................. 1
No.................................................. 2
Don’t know .................................... 3

2009 2010
a. Support in purchasing health insurance cards.......................................................................................
b. Reduction of and exemption from costs of medical checks/treatment for the poor...............................
c. Reduction of and exemption from tuition fees for the poor....................................................................
d. Policy-based scholarships.....................................................................................................................
e. Vocational training for the poor and low-income earners(Ask about number of months if this line is included)
f. Support in housing and residential land for poor households.................................................................

a. Number of months of vocational training provided
in 2009 - 2010?

month(s)g. Support in cleaning/improving daily-life water supplies for poor households........................................
h. Providing productive land for poor ethnic minorities households(Ask about areas, if this line is included)i. Extension services in agriculture, forestry and fisheries.........................................................................
j. Support in migrating abroad for employment..........................................................................................
k. Food aid.............................................................................................................................................
l. Subsidized petroleum/kerosene for fishing boat(s)/vessel(s).................................................................
m. Preferential credit for the poor..............................................................................................................
n. Support in machinery, production inputs (fertiliser, breed animals, seedlings,...).................................
o. Others (kerosene,...)..............................................................................................................................

Vietnam VHLSS 2010 Manual (Version 1.0)

b. The total area that your household has been provided
in 2009 - 2010?

m2

255

Section 8. Participation in Aid Schemes (cont'd)
3. Has anyone in your household, in 2010, borrowed from or remained indebted to preferential credit schemes for the poor?
Yes……………………1
No…………………… 2 (>>Question 9)

O

4. Which preferential credit scheme 5. Value […] ofhas your household borrowed from / this loan?
remained indebted to?

r

6. The interest rate of this 7. Does yourhousehold have to
loan?
pay any costs to get
this loan?
In case of no interest,dwrite 0er

8. The (outstanding)balance of this loan?
(including principal andinterest)?

and >>Q7(Each loan is written in a line)

If none, write 0Time unit

If none, write 0month.................. 1
Social Policy Bank…………………………
1

quarter................ 2

Employment Support Fund.................... 2

6 months............. 3

Poverty Reduction Fund........................ 3

year..................... 4

Socio-political organisations.................. 4
Others (specify____________________5

thousand VND

Interest rates

Time

%

unit

thousand VND

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Vietnam VHLSS 2010 Manual (Version 1.0)

thousand VND

Section 8. Participation in Aid Schemes (end)256

9. Have the living conditions in your household improved, compared with 5 years ago (2006)?
Yes, substantially............................. 1 (>>11)
Yes, slightly...................................... 2 (>>11)
The same as before......................... 3
Worsened.........................................4
Don't know........................................9 (>>11)

10. Pls tell why it is 'the same as before'/'worsened' ??
Increased production costs in agriculture, forestry and fisheries...................................................................... 1
Low selling prices of agricultural, forestry and fisheries products .................................................................... 2

Record in the order of importance
The first
The second
The third

Cattle and poultry suffer from epidemics or death ........................................................................................... 3
Droughts, floods, pests, and harvest loss affect agricultural, forestry and fisheries production ...................... 4
Household member(s) is sick or dies ............................................................................................................... 5
High prices of food, foodstuff, and other consumer goods .............................................................................. 6
Low incomes..................................................................................................................................................... 7
Job loss or underemployment .......................................................................................................................... 8
Conflicts or other problems among family members/friends/neighbors ........................................................... 9
Decreased arable land/water surface for aquaculture production .................................................................... 10
Unfortunate events (house on fire, stealth, traffic accident).............................................................................. 11
Other reasons (specify___________________________________________________________________ 12

11. Has consumption of food and foodstuff by your household [....] been sufficient to meet needs over the last 30 days?
Insufficient ...................................................................................................................................
1
Food
Sufficient ...................................................................................................................................
2
More than sufficient .......................................................................................................................... 3
No comment/ no applicable .............................................................................................................. 4

Foodstuff

Sufficient' means having met your household's minimum consumption needs.
12. Has consumption of electricity, water, and housing by your household [....] been sufficient to meet needs over the last 30 days?
Insufficient ...................................................................................................................................
1
Electricity
Sufficient ...................................................................................................................................
2
More than sufficient .......................................................................................................................... 3
No comment/ no applicable .............................................................................................................. 4
13. Has consumption of clothing and footwear by your household [....] been sufficient to meet needs over the last 30 days?
Insufficient ...................................................................................................................................
1
Sufficient ...................................................................................................................................
2
More than sufficient .......................................................................................................................... 3
No comment/ no applicable ..............................................................................................................
4
Vietnam VHLSS 2010 Manual (Version 1.0)

Water

Housing257

Some computing indicators from results of household interviews

Indicators and data sources

Code

Data location in household questionnaire

Page

I. Total revenue [Codes 2 + ... +14]

1

Value of aid, scholarships, rewards from education

2

Data from cell 2TN, section 2

11

Value of aid in healthcare

3

Data from cell 3TN section 3

15

Revenues from salaries/wages of household members

4

Data from cell 4ATN, part 4A

27

Revenues from renting out agricultural and forestry land and water surface for aquaculture production

5

Data from cell 4B0TN, part 4B0

29

Revenues from crop production

6

Data from cell 4B1T, part 4B1.5

35

Revenues from husbandry

7

Data from cell 4B21T, part 4B2.1

38

Revenues from hunting and domestication of birds and animals

8

Data from cell 4B22T, part 4B2.1

38

Revenues from agricultural services

9

Data from cell 4B3T, part 4B3.1

42

Revenues from forestry

10

Data from cell 4B4T, part 4B4.1

44

Revenues from aquaculture

11

Data from cell 4B5T, part 4B5.1

46

Revenues from production, business and services outside agriculture, forestry, aquaculture; processing

12

Data from cell 4CT, part 4C1

48

Other revenues included in incomes

13

Data from cell 4DTN, part 4D

50

Revenues from renting out house(s) and residential land

14

Data from Question 12, section 7

62

Vietnam VHLSS 2010 Manual (Version 1.0)

Indicator value (1000 ®ång)

258

Some computing indicators from results of household interviews (cont'd)
Code

Data location in household questionnaire

Page

II. Costs of production and business [Codes 16 + … + 22]

15

Costs of crop production

16

Data from cell 4B1C, part 4B1.6

36

Costs of husbandry

17

Data from cell 4B21C, part 4B2.2

41

Costs of hunting, trapping, and domestication of birds and animals

18

Data from cell 4B22C, part 4B2.2

41

Costs of agricultural services

19

Data from cell 4B3C, part 4B3.2

43

Costs of forestry

20

Data from cell 4B4C, part 4B4.2

45

Costs of aquaculture

21

Data from cell 4B5C, part 4B5.2

47

Costs of production, business and services outside agriculture, forestry, aquaculture; processing...

22

Data from cell 4CC, part 4C249

Indicators and data sources in Table 'Some computing indicators from results of household interviews'

III. Incomes[ Codes 2 + 3 + 4 + 5 + (6 -16) + (7 - 17) + (8 - 18) + (9 - 19) + (10 - 20) + (11 - 21) + (12 - 22) + 13 + 14]

IV. Average/per capita/monthly incomes [Indicator number III/ (number of household members x 12)]

Vietnam VHLSS 2010 Manual (Version 1.0)

Indicator value (1000 ®ång)

Indicator value (1000 ®ång)Some computing indicators from results of household interviews 259(end)
Indicators and data sources

Code

Data location in household questionnaire

Page

V. Consumption and other expenditures
Education expenditures

23

Data from cell 2CT, section 2

9Healthcare expenditures

24

Data from cell 3CT, section 3

15

Food and drink consumption on festive occasions

25

Data from cell 5A1CT, part 5A1

52

Regular food and drink consumption

26

Data from cell 5A2CT, part 5A2

55

Daily consumption of non-food items

27

Data from cell 5B1CT, part 5B1

56

Annual consumption of non-food items

28

Data from cell 5B2CT, part 5B2

57

Other consumption included in expenditures

29

Data from cell 5B3CT, part 5B3

58

Expenditures on durables over the past 12 months

30

Data from cell of question 7, section 6

61

Recurrent expenditures on housing, electricity, water, and daily-life waste

31

Data from cell of question 23, section 7

63

Vietnam VHLSS 2010 Manual (Version 1.0)

Indicator value (1000 ®ång)

260

Explanatory documents for the VHLSS 2010
Name of the dataset
No

muc1a

20

variables

Variable name in Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 matv
ID codeFamily name of household
7 m1ac1
members
Surname name of household
8 m1ac1a
members
9 m1ac2
Sex

Scope
All
All
All
All
All
All

10 m1ac3

Relationship with HH memberAll

11 m1ac4a
12 m1ac4b
13 m1ac5
14 m1ac6

Month of birth ofYear of birth ofAge
Marital status

All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-15

All
All
All

Description
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
String

1
2
1-7
1
2
3
4
5
6
7
1-12
1908-2010
0-102
1-5

StringYes
No
Numeric
Head
SpouseChildren
Parents
Grandfather/GrandmotherGrandchild
Other relation
Month
Year
Years old
1 Single
2 Married
3 Widowed
4 Divorced
5 Separated

15 m1ac7
16 m1ac8

17 m1ac9

Number of months staying in
the household
Reasons for leaving

Place registered for residency

All
All

All

0-12
1-6
1
2

Month
Student studies
Student studies in the country
Carde studies in the country

3
4
5
6
1-5

country/overseas
New born, new comer
Household head working away
Others5

In resident area in thecommune/ward
In other places in theprovince/city
In other province/city
OthersNever having registeredhousehold status

1-99

Numeric-1-62

Numeric

0-11

Numeric

1
2
3
4

18 m1ac10
19 m1ac11n
20 m1ac11t

Province permanent residenceAllin
Number of years staying inAllprovince
Number of months staying inAllprovince

Vietnam VHLSS 2010 Manual (Version 1.0)

261

Explanatory documents for the VHLSS 2010
Name of the data MUC1B
No

Variable naTopics
1 tinhProvince
2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m1bmaMember code
7 m1bc2Name
8 m1bc3
Gender18

variables
Scope
All
All
All
All
All
All
All
All

Code
1-96
4-973
124-32248
1-73
13-20
31-35
Name
1-2
1
2

Description
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
StringNumeric
Male
Female9 m1bc4

Domestic help orhousehold member
working awayAll

10 m1bc5
11 m1bc6

Age
Marital status

All
All

1-2
1
2
6-75
1-5

Numeric
Domestic help
Household member working awayYears old
1 Single
2 Married
3 Widowed
4 Divorced
5 Separated

12 m1bc7a

13 m1bc7b
14 m1bc8
15 m1bc9

Highest qualification
obtained

All

Professional training
All
Number of months staying
in household
All
Places to register
All

Province permanent
residence in
16 m1bc10
All
Number of years staying in
17 m1bc11n province
All
Number of months staying
18 m1bc11t in province
All

0-12
0
1
2
3
4
5
6
7
8
9
10
11
12
0-7

Numeric
No qualification
Primary school
Lower secondary school
Higher secondary school
Elementary vocational school
Middle-level vocational school
Professional vocational school
Vocational college
College
University
MA/MScPhD
OthersNumeric

0-12
1-5

Numeric
Numeric

12
3
45In resident area in the commune/ward
In other places in the province/city
In other province/city
OthersNever having registered household
status

1-99

Numeric-1-40

Numeric

0-11

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

262

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc2a1

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 matv
ID code
7 m2ac1
Educational level completed
8 m2ac2a Grade has completed

Scope
All
All
All
All
All
All
All
All

variables

15

Code
1-96
1-973
4-32248
1-91
13-24
1-15

Description
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
StringNumeric
No qualification
primary
lower secondary
higher secondary
elementary vocational
schoolmiddle-level vocational
schoolprofessional school
vocational college
collegeuniversity
MA/MScPhD
OthersNumeric

0-12
0
1
2
3
4

9 m2ac2b
10 m2ac3

11 m2ac4

12 m2ac5

13 m2ac6

Vocational training
Types of school

Going to school now?

Attended school over last 12 months

Level of education

All
All

All

All

All

5
6
7
8
9
10
11
12
0-7
1-5
1
2
3
4
5
1-3
1
2
3
1-2
1
2
0-12
0
1
2
3
4
5
6
7
8
9

Vietnam VHLSS 2010 Manual (Version 1.0)

PublicCommunityestablished
PrivateSemi-public
Others (Specify)Yes
On summer vacation
No
Yes
No
Nursery, kindergarten
Primary
Lower secondary
Higher secondary
Elementary vocational
schoolMiddle-level vocational
schoolProfessional school
Vocational college
College
University

263

14 m2ac7
15 m2ac8

Grade is attending
School attending

All
All

Vietnam VHLSS 2010 Manual (Version 1.0)

10
11
12
1-12
1-4

MA/MScPhD
Others (specify)
Numeric
Numeric
1 Public
Community2 established 2
3 Private
4 Others (Specify)

264

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc2_QX_cau9_11

19variables

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 matv
ID codeTuition
7 m2ac9
reduction/exemption

Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-15

Description
Numeric
Numeric
Numeric
Numeric

All

8 m2ac10a Reasons for reduction

Member say "yes" in m2ac9

1-2
1
2
0-9
0
1
2

8
9

Numeric
Yes
No
Numeric
Undefined
Poor households
Ethnic minorities
Households of fallen
combatants war invalids, sicksoldiers,
or with revolutionary merits
Deep, remote, especiallydifficult areas
families in difficult
circumstances
Primary school students
School doesn't collect tuition
fees
OthersNumeric
Undefined
Poor households
Ethnic minorities
Households of fallen
combatants war invalids, sicksoldiers,
with revolutionary merits
Deep, remote, especiallydifficult areas
families in difficult
circumstances
Primary school students
School doesn't collect tuition
fees
Others3
4
5
67

9 m2ac10b Reasons for exemption

Member say "yes" in m2ac9

8
9
0-9
0
1
2

3
4
5
6
7

Numeric
Numeric

10 m2ac11a Tuition fees

Member say "yes" in m2ac9-2390000

Numeric

11 m2ac11b Charge

Member say "yes" in m2ac9-2-5000

Numeric

Contributions to school,clas

Member say "yes" in m2ac9-2-5000

Numeric

13 m2ac11d Parent fund, class fundMember say "yes" in m2ac9-2-10000 Numeric

Uniform and costumed
14 m2ac11e stipulated

Member say "yes" in m2ac9-2-8000

Numeric

Texbooks, referencebooks

Member say "yes" in m2ac9-2-5000

Numeric

Expenditures on other16 m2ac11g study instruments

Member say "yes" in m2ac9-2-13000 Numeric

12 m2ac11c

15 m2ac11f

Vietnam VHLSS 2010 Manual (Version 1.0)

265

Coaching sessions forcompulsory subjects in
17 m2ac11h schools

Member say "yes" in m2ac9-2-29000 Numeric

18 m2ac11i

Other educational
expenditures

Member say "yes" in m2ac9-2-25920 Numeric

19 m2ac11k

Total expenditures on
education

Member say "yes" in m2ac90-390000 Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

266

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc2_QX_Cau12_16

12variables

Variable nam Topics
Scope
1 tinhProvinceAll
2 huyenDistrictAll
3 xa
CommuneAll
4 diaban
Enumerator areaAll
5 hosoHousehold codeAll
6 matv
ID codeAll
Fund received from Member say "yes"7 m2ac12organizationin m2ac9
Values of scholarshipand rewards
Member say "yes"8 m2ac13
received
in m2ac9

Code
1-96
1-973
4-32248
1-91
13-24
1-15

Description
Numeric
Numeric
Numeric
Numeric

0-46184

Numeric

0-16684

Numeric

0-32000

Numeric

1-2,9
1
2
9

Numeric
Yes
No
Missing

Numeric
Numeric

10 m2ac15a

Expenditures forother education andtraining over the past
12 months? (foreign
language certificates,
shorthand typing,Member say "yes"hairdressing,makeup,...)
in m2ac9
Member aged less
Toys bought in shops than 5

11 m2ac15b

Self-made toys

Member aged 5 or
less

1-2,9
1
2
9

Numeric
Yes
No
Missing

12 m2ac16

Books or cartoons

Member aged 17 or
0-10
less

Numeric

9 m2ac14

Vietnam VHLSS 2010 Manual (Version 1.0)

267

Explanatory documents for the VHLSS 2010
Name of the datase muc3a
No

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 matv
ID codeName of users of
7 m3c2
medical services

8 m3c3a

9 m3c3b

Scope
All
All
All
All
All
All

All
MemberSequense number using
using medical
medicalservices
services
MemberMedicalusing
establishments
medicalvisitsservices

Code
1-96
1-973
4-32248
1-91
13-24
1-15

1-8

Numeric

1-13
1

Numeric
Village/hamlet clinics
Commune/ward
clinics
Regional generalclinics
Urban/rural district
hospitals
Provincial/city
hospitals
Central hospitals
Other state-run
hospitals
Private hospitals
Other hospitals
Private practice
Traditional herbal
physicians
Individual medical
services
Other medical
establishments

3
4
5
6
7
8
9
10
11
12
13

10 m3c4

Memberusing
medicalservices

Description
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
String2

Reasons to visit
medicalestablishments

16

variables

Numeric
1-4
1

2
3
4

Vaccination
Pregnancy checks,
insertion of
intrauterine devices,
abortion, birth delivery
Health checks andconsultancy
Medical treatment

Vietnam VHLSS 2010 Manual (Version 1.0)

268

11 m3c5a

12 m3c5b

13 m3c6a

14 m3c6b

15 m3c7

Memberusing
Number of visits
medicalfor health checkservices
Memberusing
Costs of visit for
medicalhealth checkservices
MemberNumber of visits
using
for resident
medicaltreatment
services
Memberusing
Costs of visit for
medicalresident treatment services
MemberHousehold afford using
medicalmedicalcheck/treatment
services

Numeric
0-80
Numeric
0-168000
Numeric
0-30
Numeric
0-236000
Numeric
1-3
1
2
3

16 m3c8

Selling product toafford medical
check

Memberusing
medicalservices

Yes, it did
It had some but notenoughNo
Numeric

0-90000

Vietnam VHLSS 2010 Manual (Version 1.0)

269

Explanatory documents for the VHLSS 2010
Name of the datas muc3b
No

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 matv
ID codeHaving health
7 m3c9insurance card

8 m3c10a

The first types ofhealth insurance

variables
Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-15

Description
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric

All

1-2
1
2

Numeric
Yes
No

Memberhavinghealthinsurance
cards
1-10

1
2

3

4

5

6

7

8

9
10

9 m3c10b

15

MemberhavinghealthThe second types insuranceof health insurance cards
1-10

1
2

Numeric
booklet/card forchildren aged 6 or
lesshealth insurance cardfor the poor
health insurance cardfor the near-poor
free healthcare
booklet/card/certificatehealth insurance cardfor policy
beneficiaries
other compulsory
state-run healthinsurance cardother compulsory
non-state healthinsurance card
Voluntary healthinsurance card forstudents
Other voluntary
health insurance card
OthersNumeric
booklet/card forchildren aged 6 or
lesshealth insurance cardfor the poor

Vietnam VHLSS 2010 Manual (Version 1.0)

270

3

4

5

6

7

8

9
10

10 m3c11

11 m3c12a

12 m3c12b

13 m3c13

14 m3c14
15 m3c15

MemberhavinghealthSpent on healthinsurance
insurance
cards
0-11600
MemberUsing healthhavinginsurance card for healthcheck-up outinsurance
service
cards
1-2
1
2
MemberhavingUsing healthhealthinsurance card for insurance
check-up in-service cards
1-2
12
Spending onpurchasing
medicines without
health check-up
All0-44000
Spending onpurchasing medical
facilities
All
0-10000
In cash or in kindAll0-142745
received

health insurance cardfor the near-poor
free healthcare
booklet/card/certificatehealth insurance cardfor policy
beneficiaries
other compulsory
state-run healthinsurance cardother compulsory
non-state healthinsurance card
Voluntary healthinsurance card forstudents
Other voluntary
health insurance card
OthersNumeric

Numeric

Yes
No

Numeric

Yes
No

Numeric

Numeric
Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

271

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4a119

variables

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 matv
ID codeTaken wage/salaried
7 m4ac1a employment

Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-15

Description
Numeric
Numeric
Numeric
Numeric

All

1-2
1
2

Numeric
Yes
No

All

1-2
1
2

Numeric
Yes
No

1-2
1
2
1-2
1
2

Numeric
Yes
No
Numeric
Yes
No

8 m4ac1b

Self-employment in agriculture,
forestry, aquaculture

9 m4ac1c

Self-engagement in production,business, services outside
agriculture, forestry, aquaculture All

10 m4ac2

Having job?

11 m4ac3a

Number of working days

12 m4ac3m

Job desciption

13 m4ac3

Occupation code

14 m4ac4c

Name of employer

15 m4ac4m

Job desciption

16 m4ac4

Industry code

17 m4ac5

Taken job over last month?

18 m4ac6

Number of working days

19 m4ac7

Number of working hours

All

Memberhaving job 1-365
Memberhaving job
Memberhaving job 1-96
Memberhaving job
Memberhaving job
Memberhaving job 2-160
Memberhaving job 1-2,91
29Memberhaving job -1-30
Memberhaving job -1-24

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric
Numeric

Numeric
StringNumeric
StringStringNumeric
Numeric
Yes
No
Missing
Numeric
Numeric

272

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4a2variables

Variable na Topics

Scope
Code
Memberhaving job 1-96
Memberhaving job 1-973
Memberhaving job 4-32248
Memberhaving job 1-91
Memberhaving job 13-24
Memberhaving job 1-15
Memberhaving job 1-6

1 tinhProvince

2 huyenDistrict

3 xa

Commune4 diaban

Enumerator area

5 hosoHousehold code

6 matv

ID code

7 m4ac8aOrganization working

1

2
3
4
5
6
8 m4ac8b

9 m4ac9

10 m4ac10

11 m4ac11

12 m4ac12a
13 m4ac12b
14 m4ac13a

15 m4ac13b

16 m4ac13c

Public employee/civil
servant

Memberhaving job 1-2
12
MemberReceived salary/wages having job 1-2
12
In cash or in kind
Memberreceivedhaving job -1-46784
Salaries/wages
including in cash or in Member 99kind
having job 561409
In cash or in kindreceived for festive
Memberoccassions
having job 0-56141
MemberOther bonuses
having job 0-132141
MemberSigning a payroll book having job 1-2
12
Member
Paid leaves/holiday
having job 1-2
12
MemberSocial insurance
having job 1-2

16
Description
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Farming, forestry,
aquaculture
households/individuals
Independent
production andbusiness households
Collective
PrivateState-run
Foreign-invested
Numeric
Yes
No
Numeric
Yes
No
Numeric

Numeric

Numeric
Numeric
Numeric
Yes
No
Numeric
Yes
No

Vietnam VHLSS 2010 Manual (Version 1.0)

273

1
2

Yes
No

Vietnam VHLSS 2010 Manual (Version 1.0)

274

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4a3

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 matv
ID code
7 m4ac14 Taken other job

Number of working
8 m4ac15a days for second job
9 m4ac15m Job desciption
10 m4ac15 Occupation code
Name of employer of
11 m4ac16c second job
12 m4ac16m Job desciption
13 m4ac16 Industry code
Peformed this work
14 m4ac17 over 30 days?

15 m4ac18
16 m4ac19

16

variables

Number of days
performed this work
Number of hours
working

Scope
CodeMember ha1-96
Member ha1-973
Member ha4-32248
Member ha1-91
Member ha13-24
Member ha1-15
Member ha1-2
12

Description
Numeric
Numeric
Numeric
Numeric

Member ha1-365
Member having job
Member ha2-96

Numeric
StringNumeric

Member having job
Member having job
Member ha2-160

StringStringNumeric

Member ha1-2
12

Numeric
Yes
No

Member ha-1-30

Numeric

Member ha-1-20

Numeric

Numeric
Numeric
Yes
No

Vietnam VHLSS 2010 Manual (Version 1.0)

275

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4a414

variables

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 matv
ID codeOrganization working
7 m4ac20 for the second job

Scope
Code
Member ha1-96
Member ha1-973
Member ha4-32248
Member ha1-91
Member ha13-24
Member ha1-15

Description
Numeric
Numeric
Numeric
Numeric

Numeric
Numeric

Member ha1-6

Numeric
Farming, forestry,
aquaculture
households /1
individuals
Independent
production and2business households
3
Collective
4
Private5
State-run
6
Foreign-invested
8 m4ac21 Received salary/wages Member ha1-2
Numeric
1
Yes
2
No
9 m4ac22 In cash or in kind receivMember ha-1-15727 Numeric
10 m4ac23 Salaries/wages includinMember ha40-120832 Numeric
11 m4ac24a In cash or in kind receivMember ha0-8055
Numeric
12 m4ac24b Other bonuses
Member ha0-23392 Numeric
13 m4ac25 Taken any salary/wage Member ha1-2
Numeric
1
Yes
2
No
14 m4ac26 Receive from this job Member ha0-24523 Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

276

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4a5

Variable na Topics
1 tinhProvince

2 huyenDistrict

3 xa

Commune4 diaban

Enumerator area

5 hosoHousehold code

6 matv

ID codeReceived
unemployment
benefit?

7 m4ac27

12

variables
Scope
Member having
job
Member having
job
Member having
job
Member having
job
Member having
job
Member having
job
Member having
job

Unemployment
Member having
8 m4ac28a allowancejob
One-off severance
Member having
9 m4ac28b pay
job
standard pension at a Member having
10 m4ac28c stipulated age
job
Member having
11 m4ac28d Premature pension
job
Allowance for loss of Member having
12 m4ac28e working capacity
job

Code

Description

1-96

Numeric

1-973

Numeric

4-32248

Numeric

1-91

Numeric

13-24

Numeric

1-15

Numeric

1-2
12

Numeric
YesNo

0-9357

Numeric

0-139785 Numeric0-102861 Numeric
0-72082

Numeric

0-35025

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

277

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b0

Variable naTopics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b0ma Types of land

Scope
All
All
All
All
All
Household having farm land

Code
1-96
1-973
4-32248
1-91
13-24
1-7
1
2
3
4

5

7 m4b0c3
8 m4b0c4

9 m4b0c5

9variables

Area of landHousehold having farm land
Paid in cash or in kindHousehold having farm land
for land rental
Revenue in cash or inkind from renting landoutHousehold having farm land

Vietnam VHLSS 2010 Manual (Version 1.0)

Description
Numeric
Numeric
Numeric
Numeric

Numeric
Numeric
Annual crop land
Perennial crop
land
Forestry land
Water surface
Gardens, ponds
adjacent toresidential land
Shifting-cultivation
farmland6
74-2815072

Others0-80000

Numeric

0-48938

Numeric

Numeric

278

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b11

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code

Scope
All
All
All
All
All

Havested any product Household havesting any product6 m4b11ma from cultivationfrom cultivation

Code
1-96
1-973
4-32248
1-91
13-24

Description
Numeric
Numeric
Numeric
Numeric
Numeric

1-7

7

Numeric
Winter-Spring plain
rice?
Summer-Autumn plain
rice?
Autumn-Winter plain
rice?
Upland plain rice?
Annual total of plain
rice?
Annual total of sticky
rice?
Annual total of
specialty rice?

40-161000

Numeric

12-89770

Numeric

0-1000

Numeric

0-87770

Numeric

0-383440

Numeric

72-393319

Numeric

1
2
3
4
5
6

7 m4b11c3 Cultivated area
8 m4b11c4 Havested quantity
9 m4b11c5 Lost to pet, rat
10 m4b11c6 Put to sale or barter
Proceeds from sales
11 m4b11c7 to barter
value of the output
12 m4b11c8 havested

12variables

Household havesting any productfrom cultivation
Household havesting any productfrom cultivation
Household havesting any productfrom cultivation
Household havesting any productfrom cultivation
Household havesting any productfrom cultivation
Household havesting any productfrom cultivation

Vietnam VHLSS 2010 Manual (Version 1.0)

279

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b12

Variable name Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b12ma
Crop code

Scope
All
All
All
All
All
Household having crop

Code
1-96
1-973
4-32248
1-91
13-24
8-21
8
9
10
11
12
13
14
15
16
17
18
19

10 m4b12c6
11 m4b12c7

Area grown
Kg havested
Put to sale or barter
Total revenue fromsale or barter
Value of the output
harvested

Description
Numeric
Numeric
Numeric
Numeric

Numeric

Household having cropHousehold having cropHousehold having crop21
-1-80000
1-114000
0-114000

Numeric
Maize (corn)
Sweet potato
Cassava/manioc
Other staple food crops
PotatoMorning glory vegetable
Kohlrabi
Cabbage, cauliflower
Cruciferous vegetables
Edible beans
TomatoSeasoning herb
Other edible vegetables,
fruits and roots
Other annual crops(green, black and redbean, flowers, decorativeplants, plants for animal
feed and manure, etc.)
Numeric
Numeric
Numeric

Household having crop

0-798447

Numeric

Household having crop

5-798447

Numeric

20

7 m4b12c3
8 m4b12c4
9 m4b12c5

11variables

Vietnam VHLSS 2010 Manual (Version 1.0)

280

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b13

Variable name Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b13ma
Crop code

Cultivated area

8 m4b13c3b

Code

9 m4b13c4

Kg havested

10 m4b13c5

Put to sale or barter
Total revenue fromsale or barter
Value of the output
harvested

12 m4b13c7

Scope
All
All
All
All
All
All

Household having
crop
Household havingcrop

7 m4b13c3a

11 m4b13c6

12variables

Household having
crop
Household having
crop
Household having
crop
Household having
crop

Code
Description
1-96
Numeric
1-973
Numeric
4-32248 Numeric
1-91
Numeric
Numeric
13-24
22-38
Numeric
22 Soya bean/soybean
23 Peanut/groundnut
24 Sesame
25 Sugarcane
Tobacco, rustic
26 tobacco
27 Cotton
Jute, ramie (China
28 grass)
29 Sedge
Other industrial
30 annuals
31 Tea32 Coffee
33 Rubber
34 Pepper
35 Coconut
36 Mulberry
37 Cashew
Other industrial
38 perennials
1-500000 Numeric
1-2
12

Numeric
M2
Plant

1-236250 Numeric0-236250 Numeric
03508317 Numeric
93508317 Numeric

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281

Explanatory documents for the VHLSS 2010
Name of the dataset muc4b14
No

Variable nam Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b14ma
Crop type

Scope
All
All
All
All
All
All

7 m4b14c3a

Output from theacreage

8 m4b14c3b

Code

9 m4b14c4

Kg havested

10 m4b14c5

Put to sale or barter
Total revenue fromsale or barter
Value of the output
harvested

11 m4b14c6
12 m4b14c7

12variables

Household having fruit
treesHousehold having fruit
treesHousehold having fruit
treesHousehold having fruit
treesHousehold having fruit
treesHousehold having fruit
trees

Vietnam VHLSS 2010 Manual (Version 1.0)

Code
1-96
1-973
4-32248
1-91
13-24
39-54
39
40
41
42
43
44
45
46

Description
Numeric
Numeric
Numeric
Numeric

Numeric

47
48
49
50
51
52
53
54

Numeric
CitrusPineapple
BananaMango, horse mango
Indian jujube
Grape
Plum
PapayaLongan, lychee,rambutan
Sapodilla
Sugar-apple, soursop
Jackfruit, durian
Mangosteen
Other fruit trees
Other perennials
Seedlings

1-50000

Numeric

1-2
12

Numeric
M2
Plant

1-62500

Numeric

0-62300

Numeric

0-225000 Numeric
5-225000 Numeric

282

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b1510

variables

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b15ma Havested code

Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-10
1
2
3
4
5
6
7

Household having
7 m4b15c2 Revenues from sale havested products
Value used as animal Household having
8 m4b15c3 feed
havested products
Value used for other Household having
9 m4b15c4 purposes
havested products
Total values of byHousehold having
10 m4b15c5 product havested
havested products

Vietnam VHLSS 2010 Manual (Version 1.0)

Description
Numeric
Numeric
Numeric
Numeric

Numeric
Numeric
Rice straw
Sweet potato leaf andstem
Maize or cassava
stem
Bean stem
Sugarcane bud and
leaf

8
9
10

Jute and ramie stems
Mulberry stem
Firewood (fromagricultural crops)
Other by-productsCollected products

0-9302

Numeric

0-5528

Numeric

0-10502

Numeric

4-10502

Numeric

283

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b16

Variable nam Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b16ma Code

Scope
All
All
All
All
All
All

variables

13

Code
1-96
1-973
4-32248
1-91
13-24
1-911
1
2

Description
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Seeds
Seedlings
Chemical fertilizers(nitrate, phosphate,potash, NPK, etc...)Organic fertilizer (selfsupplied)
Organic fertilizer(outsourced)
Pesticide
Herbicide
Small tools, cheap
and undurable objects(sickle, scythe, hoe,
shovel, etc)
Energy, fuelElectricity
Coal
Coal briquette
PetrolKerosene
Mazut oil
Diesel oil
LPG
Natural gas
Firewood
Other energy andfuels
Small repairs,
maintenance
Fixed asset
depreciation
Land rental andprocurement
Hire of assets,
machines, vehicles
and mechanical work;
hire of transport
Hire of ploughing
cattlePaying outsourced
labourInner-field irrigation
Payment of interest on
loans taken out for
production

3
4
5
6
7

8
9
9.1
9.2
9.3
9.4
9.5
9.6
9.7
9.8
9.9
9.1
9.11
10
11
12

13
14
15
16

17

Vietnam VHLSS 2010 Manual (Version 1.0)

284

7 m4b16c2a

Spent on rice
Spent on staple food,other non-staple food
8 m4b16c2b crops
Spent on industrial
9 m4b16c2c crops
Spent on fruit trees
and other trees
10 m4b16c2d except forest trees
11 m4b16c2e Total (2a-2e)
12 m4b16c2e1 State subsidy
13 m4b16c2e2 Other assistance

Household having crop

Other costs (charges,
post, advertisement,
marketing, production
insurance, plant
protection fund, field
improvement fund,agri-extension fund,administration
management fund,feed for ploughing
18
cattle, etc)
-2-92447 NumericHousehold having crop

-2257497

Household having crop

-2-752401 NumericHousehold having cropHousehold having cropHousehold having cropHousehold having crop

-2-40023
2-752401
0-39566
0-3368Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric

Numeric
Numeric
Numeric
Numeric

285

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b17

11

variables

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b17ma Fertilizer code

Scope
All
All
All
All
All
All

Fertilizer using for
7 m4b17c2 paddy rice plantHousehold having crops
Fertilizer using for other8 m4b17c3 fruit crops
Household having crops
Fertilizer using for
9 m4b17c4 industrial crops
Household having crops
Fertilizer using for fruit
trees, other trees
10 m4b17c5 except forest trees
Household having crops
11 m4b17c6 Total of c2-c5Household having crops

Vietnam VHLSS 2010 Manual (Version 1.0)

Code
1-96
1-973
4-32248
1-91
13-24
1-5
1
2
3
4
5

Description
Numeric
Numeric
Numeric
Numeric-1-4650

Numeric-1-30000

Numeric-1-15000

Numeric-1-3600
1-30000

Numeric
Numeric

Numeric
Numeric
Nitrogenous fertilizer
Phosphorous fertilizer
Kali
NPK
Other fertilizers

286

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b21

Variable naTopics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b21ma Code10

variables
Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-19
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18

Household having
husbandary, hunting,trapping anddomestication of bird
7 m4b21c3 Quantity obtained
and animals
Household having
husbandary, hunting,trapping anddomestication of bird
8 m4b21c4a Quantity sold or bartereand animals
Household having
husbandary, hunting,trapping anddomestication of bird
9 m4b21c4b Value sold or bartered, and animals
Household having
husbandary, hunting,trapping anddomestication of bird
10 m4b21c5 Value of the output obt and animals

Description
Numeric
Numeric
Numeric
Numeric

Numeric
Numeric
Pork
Beef and water buffalo meat
Horsemeat
Goat meat, sheep meat(lamb, hogget, mutton)
ChickenDuck, Muscovy duck andgoose meat
Other poultry meat
PigletCalf and water buffalo calf
Other young animals andpoultry
Other raised animals (bear,deer, rabbit, dog, etc)
Poultry egg (chicken, duck,etc)
Fresh milk
Silk cocoon
Honey of kept bees
Other animal products (notslaughtered)

19

Other outputs from husbandry
Animal by-productProducts from hunting,trapping, and domestication of
birds and animals

0-3285000

Numeric

0-1319000

Numeric

0-2315764

Numeric

0-9801013

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

287

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b22a

Variable name in Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b22ma
Cost code

Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-11
1
2
3
4
5
6
7
8
9

8 m4b22c8

9 m4b22c9

10 m4b22c10a

11 m4b22c10b

12 m4b22c10c

13 m4b22c10d

14 m4b22c10e

Household having
husbandary, hunting,trapping anddomestication of bird
Cost for young animals, and animals
Household having
husbandary, hunting,trapping anddomestication of bird
Cost for feed
and animals
Household having
husbandary, hunting,trapping anddomestication of bird
Cost for medicine for anand animals
Household having
husbandary, hunting,trapping anddomestication of bird
Cost for electricity
and animals
Household having
husbandary, hunting,trapping anddomestication of bird
Cost for coaland animals
Household having
husbandary, hunting,trapping anddomestication of bird
Cost for coal briquette and animals
Household having
husbandary, hunting,trapping anddomestication of bird
Cost for petrol
and animals
Household having
husbandary, hunting,trapping anddomestication of bird
Cost for kerosene
and animals

Description
Numeric
Numeric
Numeric
Numeric

Numeric

11

Numeric
Pig/swine
Cattle, water buffalo
Horse
Goat, sheep
ChickenDuck, Muscovy duck, goose
Other poultry
Honey bee
Silkworm
Other products of husbandry(specify)
Products from hunting,trapping and domestication

0-3252154

Numeric0-,1812846

Numeric

0-118800

Numeric-2-201960

Numeric

0-12289

Numeric

0-9500

Numeric

0-16653

Numeric

0-208

Numeric

10

7 m4b22c7

20variables

Vietnam VHLSS 2010 Manual (Version 1.0)

288

15 m4b22c10f

Cost for mazut oil

16 m4b22c10g

Cost for diesel oil

17 m4b22c10h

Cost for LPG

18 m4b22c10i

Cost for natual gas

19 m4b22c10j

Cost for firewood

20 m4b22c10k

Other costs

Household having
husbandary, hunting,trapping anddomestication of bird
and animals
Household having
husbandary, hunting,trapping anddomestication of bird
and animals
Household having
husbandary, hunting,trapping anddomestication of bird
and animals
Household having
husbandary, hunting,trapping anddomestication of bird
and animals
Household having
husbandary, hunting,trapping anddomestication of bird
and animals
Household having
husbandary, hunting,trapping anddomestication of bird
and animals

0-66

Numeric

0-22163

Numeric

0-4725

Numeric

0-1210

Numeric

0-4764

Numeric-2-11816

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

289

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b22b

Variable name Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b22ma
Cost code

Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-11
1
2
3
4
5
6
7
8
9

8 m4b22c12

9 m4b22c13

10 m4b22c14

11 m4b22c15

12 m4b22c16

13 m4b22c17

14 m4b22c18

Household having
husbandary, hunting,trapping anddomestication of bird
Cost for waterand animals
Household having
husbandary, hunting,trapping anddomestication of bird
Depreciation of fixed assand animals
Household having
husbandary, hunting,trapping anddomestication of bird
Land rental or procurem and animals
Household having
husbandary, hunting,trapping anddomestication of bird
Hiring of machines,vehicand animals
Household having
husbandary, hunting,trapping anddomestication of bird
Pay for outsourced laborand animals
Household having
husbandary, hunting,trapping anddomestication of bird
Payment of interest for loand animals
Household having
husbandary, hunting,trapping anddomestication of bird
Business tax
and animals
Household having
husbandary, hunting,trapping anddomestication of bird
Other costs
and animals

Description
Numeric
Numeric
Numeric
Numeric

Numeric

11

Numeric
Pig/swine
Cattle, water buffalo
Horse
Goat, sheep
ChickenDuck, Muscovy duck, goose
Other poultry
Honey bee
Silkworm
Other products of husbandry(specify)
Products from hunting, trappingand domestication

0-9449

Numeric

0-38154

Numeric

10

7 m4b22c11

15

variables

0-1467182 Numeric-2-20598

Numeric

0-106180 Numeric

0-594001 Numeric

0-1453

Numeric-2-23026

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

290

15 m4b22c19

Total of c7-c18

Household having
husbandary, hunting,trapping anddomestication of bird
and animals

5-6950799 Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

291

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b31

Variable naTopics
1 tinhProvince
2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b31ma Code9

variables
Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-5

5

0,5-12

Numeric

3
4

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric
Numeric
Ploughing and soil
preparation
Irrigation
Pest prevention andcontrol
Rice threshing, semiprocessing
Other services (artificial
insemination, castration,
etc)

1
2

Household having
Number of months of having agriculture service
7 m4b31c3 agriculture service activities activities
Household having
agriculture service
8 m4b31c4 Earned per monthactivities
Household having
Total revenues fromagriculture service
9 m4b31c5 agriculture service activities activities

Description
Numeric
Numeric
Numeric
Numeric

67-142660 Numeric67-427981 Numeric

292

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b32a

Variable naTopics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
Code of agriculture
6 m4b32ma services

19

variables
Scope
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24

Description
Numeric
Numeric
Numeric
Numeric

All

1-5

4

Numeric
Ploughing and soil
preparation
Irrigation
Pest prevention and control
Rice threshing, semiprocessing

5

Other services (artificial
insemination, castration, etc)

0-302258

Numeric

0-24001

Numeric

0-10016

Numeric

0

Numeric

0-1645

Numeric

0-39296

Numeric

0-90240

Numeric

0-7707

Numeric

0-83340

Numeric

0-8568

Numeric

0

Numeric0-1800

Numeric

0-4320

Numeric

1
2
3Household having
agriculture service
7 m4b32c7 Cost of materials
activities
Household having
Small tools, cheap non- agriculture service
8 m4b32c8 durables
activities
Household having
agriculture service
9 m4b32c9a Cost for electricity
activities
Household having
agriculture service
10 m4b32c9b Cost for coal
activities
Household having
agriculture service
11 m4b32c9c Cost for coal briquette activities
Household having
agriculture service
12 m4b32c9d Cost for petrol
activities
Household having
agriculture service
13 m4b32c9e Cost for kerosene
activities
Household having
agriculture service
activities
14 m4b32c9f Cost for mazut oil
Household having
agriculture service
15 m4b32c9g Cost for diesel oil
activities
Household having
agriculture service
16 m4b32c9h Cost for LPG
activities
Household having
agriculture service
17 m4b32c9i Cost for natual gas
activities
Household having
agriculture service
18 m4b32c9j Cost for firewood
activities
Household having
agriculture service
19 m4b32c9k Other costs
activities

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric

293

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b32b

14

variables

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
Code of agriculture
6 m4b32ma services

Scope
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24

Description
Numeric
Numeric
Numeric
Numeric

All

1-5

5

Numeric
Ploughing and soil
preparation
Irrigation
Pest prevention and control
Rice threshing, semiprocessing
Other services (artificial
insemination, castration,etc)

0-30529

Numeric

0-26250

Numeric0-1800

Numeric

0-105000

Numeric

0-9360

Numeric

0-1000

Numeric0-18000

Numeric

10-322355

Numeric

12
3
4Household having
agriculture service
7 m4b32c10 Small repair, maintena activities
Household having
agriculture service
8 m4b32c11 Fixed asset depreciatioactivities
Renting of workshop
floor, machines,
vehicles, assets, and Household having
agriculture service
means of
9 m4b32c12 transportation
activities
Household having
agriculture service
10 m4b32c13
activities
Household having
agriculture service
11 m4b32c14
activities
Household having
agriculture service
12 m4b32c15
activities
Household having
agriculture service
13 m4b32c16
activities
Household having
agriculture service
14 m4b32c17
activities

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric

294

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b41

Variable naTopics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b41ma Activity code13

variables
Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-14

Numeric

14

Numeric
Vernicia montana, camellia
sasanqua tree
Cinnamon tree
Anise
Pine tree
Shellac tree
Wood tree
BambooPalm tree
Water coconut tree
Other forest trees
Firewood
Planting, looking after,
improvement of forests?
Breeds of forest trees andproducts collected fromforests?
Other forestry services (forest
protection, forestry
management,...)

0-60604

Numeric

0-26664

Numeric

0-16497

Numeric

0-62088

Numeric

0-67000

Numeric

1
2
3
4
5
6
7
8
9
10
11
12

13

Values of
outputs/revenues fromHousehold having
production forest land
allowcated to household activities relating to7 m4b41c3a over the past 12 months forest
Values of
outputs/revenues fromproduction forest landHousehold having
not yet allowcated tohousehold over the past activities relating to
8 m4b41c3b 12 months
forestValues of
outputs/revenues fromHousehold having
protection forest land
allowcated to household activities relating to
9 m4b41c3c over the past 12 months forest
Values of
outputs/revenues fromprotection forest land not
Household having
yet allowcated tohousehold over the past activities relating to
10 m4b41c3d 12 months
forestValues of
outputs/revenues fromHousehold having
other forest land over the activities relating to
11 m4b41c3e past 12 months
forestValues of
outputs/revenues fromHousehold having
activities (sum of 3a-3e) activities relating to
12 m4b41c3f over the past 12 months forest

Description
Numeric
Numeric
Numeric
Numeric

19-67000 Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

295

Value for sales or
13 m4b41c4 exchangeHousehold having
activities relating toforest0-67000

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric

296

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b42a20

variables

Variable name Topics
1 tinhProvince
2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b42ma
Forest code

Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-2
1
2

Description
Numeric
Numeric
Numeric
Numeric

Numeric
Numeric
Forest activities
Forest services

7 m4b42c1

Household having
Cost for seeds, seedings activities relating to forest 0-6631

Numeric

8 m4b42c2

Costs for fertilizers,

Household having
activities relating to forest 0-8673

Numeric

9 m4b42c3

Costs for small
instruments

Household having
activities relating to forest 0-2133

Numeric

10 m4b42c4a

Cost for electricity

Household having
activities relating to forest 0-683

Numeric

11 m4b42c4b

Cost for coalHousehold having
activities relating to forest 0-120

Numeric

12 m4b42c4c

Cost for coal briquette

Household having
activities relating to forest 0-3200

Numeric

13 m4b42c4d

Cost for petrol

Household having
activities relating to forest 0-12500

Numeric

14 m4b42c4e

Cost for kerosene

Household having
activities relating to forest 0-68

Numeric

15 m4b42c4f

Cost for mazut oil

Household having
activities relating to forest 0-332

Numeric

16 m4b42c4g

Cost for diesel oil

Household having
activities relating to forest 0-265

Numeric

17 m4b42c4h

Cost for LPG

Household having
activities relating to forest 0-1006

Numeric

18 m4b42c4i

Cost for natual gas

Household having
activities relating to forest 0

Numeric

19 m4b42c4j

Cost for firewood

Household having
activities relating to forest 0-1466

Numeric

20 m4b42c4k

Other costs

Household having
activities relating to forest 0-1184

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

297

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b42b

Variable naTopics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b42ma Forest code16

variables
Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
1-2
1
2

Description
Numeric
Numeric
Numeric
Numeric

Numeric
Numeric
Forest activities
Forest services

Cost for small repair and Household having
7 m4b42c5 maintenanceactivities relating to forest 0-2000

Numeric

Household having
8 m4b42c6 Fixed asset depreciation activities relating to forest 0-3001

Numeric

Rent and use of
9 m4b42c7 procured land
Rent of asset andmachines, rented
10 m4b42c8 means of transport

Household having
activities relating to forest 0-10000

Numeric

Household having
activities relating to forest 0-8891

Numeric

Household having
11 m4b42c9 Rent of ploughing cattle activities relating to forest 0-3879

Numeric

Cost of outsourced
12 m4b42c10 labours

Household having
activities relating to forest 0-13798

Numeric

Household having
13 m4b42c11 Pament of loan interests activities relating to forest 0-4642

Numeric

14 m4b42c12 Business tax

Household having
activities relating to forest 0-2809

Numeric

15 m4b42c13 Other costs

Household having
activities relating to forest 0-20373

Numeric

16 m4b42c14 Total costs

Household having
activities relating to forest 0-31768

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

298

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b51

Variable nameTopics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
Aquaculture production
6 m4b51ma
code

7 m4b51c3
8 m4b51c4a
9 m4b51c4b
10 m4b51c5

10variables

Total catch
Quantity forsales/exchange,
Payment for labors
Total values of production
gained

Scope
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24

Description
Numeric
Numeric
Numeric
Numeric

All

3-23
1.1
1.2
1.3
1.4
2.1
2.2
2.3
3

Numeric
Fish
Shrimps
Breeding fish, shrimps
Other aquaculture
FishShrimps
Other aquaculture
Aquacultural services

1-357000

Numeric

0-357000

Numeric

0-3328000

Numeric

Household having
aquaculture activities
Household having
aquaculture activities
Household having
aquaculture activities
Household having
aquaculture activities

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric

13-3328000 Numeric

299

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc4b52

Variable naTopics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m4b52ma Aquaculture cost code30

variables
Scope
All
All
All
All
All
All

Cost for breeds of
7 m4b52c6 aquaculture

Household having
aquaculture activities
Household having
8 m4b52c7 Cost for feedaquaculture activities
Household having
9 m4b52c8 Cost for small instruments aquaculture activities
Household having
10 m4b52c9a Cost for electricity
aquaculture activities
Household having
11 m4b52c9b Cost for coalaquaculture activities
Household having
12 m4b52c9c Cost for coal briquetteaquaculture activities
Household having
13 m4b52c9d Cost for petrol
aquaculture activities
Household having
14 m4b52c9e Cost for kerosene
aquaculture activities
Household having
15 m4b52c9f Cost for mazut oil
aquaculture activities
Household having
16 m4b52c9g Cost for diesel oil
aquaculture activities
Household having
17 m4b52c9h Cost for LPG
aquaculture activities
Household having
18 m4b52c9i Cost for natual gas
aquaculture activities
Household having
19 m4b52c9j Cost for firewood
aquaculture activities
Household having
20 m4b52c9k Other costs
aquaculture activities
Household having
21 m4b52c10 Cost for salt, ice wateraquaculture activities
Cost for small repair,Household having
22 m4b52c11 maintenanceaquaculture activities
Household having
23 m4b52c12 Depreciation of fixed assets aquaculture activities
Rent and use of procured
Household having
24 m4b52c13 landaquaculture activities
Rent of assets andmachines, rented means of Household having
25 m4b52c14 transportaquaculture activities
Household having
26 m4b52c15 Cost of outsourced labors
aquaculture activities
Interest payment for loans
for aquaculture related
Household having
27 m4b52c16 activities
aquaculture activities
Household having
28 m4b52c17 Business tax
aquaculture activities
Household having
29 m4b52c18 Other costs
aquaculture activities
Household having
30 m4b52c19 Total
aquaculture activities

Vietnam VHLSS 2010 Manual (Version 1.0)

Code
1-96
1-973
4-32248
1-91
13-24
1-3
1
2
3

Description
Numeric
Numeric
Numeric
Numeric

0-150000

Numeric

0-2771000

Numeric

0-46636

Numeric0-18000

Numeric

0

Numeric

0-700

Numeric

0-9000

Numeric

0-106710

Numeric

0-20969

Numeric

0-1492682

Numeric

0-41567

Numeric

0

Numeric

0-360

Numeric

0-684532

Numeric

0-92606

Numeric

0-147198

Numeric

0-176730

Numeric

0-40000

Numeric

0-179449

Numeric

0-636226

Numeric0-144000

Numeric

0-5438

Numeric

0-189518

Numeric

2-3200100

Numeric

Numeric
Aquaculture production
Aquaculture catch
Aquaculture services

300

Explanatory documents for the VHLSS 2010
Name of the dataset
No

muc4c1

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
Activities relating to nonagriculture, forestry and6 m4c1ma aquaculture
7 m4c1c2
Sectoral code

8 m4c1c3

Number of months

9 m4c1c4

Posses entire activitiy

10 m4c1c5

11 m4c1c6

12 m4c1c7

13 m4c1c8

Scope
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24

Description
Numeric
Numeric
Numeric
Numeric

All
All
Household having
activities relating to nonagriculture, forestry andaquaculture
Household having
activities relating to nonagriculture, forestry andaquaculture

1-4
6-98

Numeric
Numeric

0.3,12

Numeric

1-2
12

Numeric
Yes
No

2-7

Numeric

14-100

Numeric

1-3
1
23

Numeric
Yes, by type of enterpriseYes, by type of individual
household enterprise
No

1-2
1
2

Numeric
Có
Không

40-576737

Numeric

40-6920845

Numeric

1-2
12

Numeric
Có
Không

24-9363

Numeric

Household having
activities relating to nonNumber of household
agriculture, forestry andrelated to activity
aquaculture
Household having
activities relating to nonPercentage of income
agriculture, forestry andreceived from this activity aquaculture
Household having
activities relating to nonagriculture, forestry andRegistererd for business aquaculture

Household having
activities relating to nonProduct for sale/exchange agriculture, forestry andaquaculture
or service supply

14 m4c1c9

Average revenue permonth

15 m4c1c10

Revenue over past 12
months

16 m4c1c11

Exchange products forother products/services

Household having
activities relating to nonagriculture, forestry andaquaculture
Household having
activities relating to nonagriculture, forestry andaquaculture
Household having
activities relating to nonagriculture, forestry andaquaculture

Value of exchanged
products

Household having
activities relating to nonagriculture, forestry andaquaculture

17 m4c1c12

23

variables

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric

301

18 m4c1c13

19 m4c1c14

20 m4c1c15

Household having
activities relating to nonProducts used/consumed agriculture, forestry andby household
aquaculture

Household having
activities relating to nonValue of used/consumed agriculture, forestry andproducts
aquaculture
Household having
activities relating to nonProducts used/sold byagriculture, forestry andaquaculture
household21 m4c1c16

Value of used/soldproducts

22 m4c1c17

Total revenue

23 m4c1c18

Total revenue divided byhouseholdHousehold having
activities relating to nonagriculture, forestry andaquaculture
Household having
activities relating to nonagriculture, forestry andaquaculture
Household having
activities relating to nonagriculture, forestry andaquaculture

1-2
1
2

Numeric
Có
Không

10-72323

Numeric

1-2
12

Numeric
Có
Không

4-63182

Numeric

0-6920845

Numeric

0-6920845

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

302

Explanatory documents for the VHLSS 2010
Name of the dataset
No

muc4c2

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
Activities relating to nonagriculture, forestry and6 m4c2ma aquaculture

7 m4c2c19

Cost for main and minor
materials

8 m4c2c20

Cost for small, cheap,
undurable tools

9 m4c2c21a Cost for electricity

10 m4c2c21b Cost for coal

11 m4c2c21c Cost for coal briquette

12 m4c2c21d Cost for petrol

13 m4c2c21e Cost for kerosene

14 m4c2c21f Cost for mazut oil

15 m4c2c21g Cost for diesel oil

16 m4c2c21h Cost for LPG

32variables
Scope
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24

Description
Numeric
Numeric
Numeric
Numeric

All
Household having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture

1-4

Numeric

0-4151528

Numeric

0-68530

Numeric

0-161688

Numeric

0-1565437

Numeric

0-21873

Numeric

0-135668

Numeric

0-71280

Numeric

0-209140

Numeric

0-762330

Numeric

0-53732

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric

303

Household having
activities relating to
non-agriculture,
forestry and17 m4c2c21i Cost for natual gas
aquaculture
Household having
activities relating to
non-agriculture,
forestry and18 m4c2c21j Cost for firewood
aquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture
19 m4c2c21k Other costs
Household having
activities relating to
non-agriculture,
forestry and20 m4c2c22 Cost for wateraquaculture
Household having
activities relating to
Activities relating to non- non-agriculture,
agriculture, forestry andforestry andaquaculture
aquaculture
21 m4c2stt
Household having
activities relating to
non-agriculture,
Cost for minor repair,forestry and22 m4c2c23 maintenanceaquaculture
Household having
activities relating to
non-agriculture,
Depreciation of fixed
forestry and23 m4c2c24 assets
aquaculture
Household having
activities relating toRent of land, workshop,
non-agriculture,
shops, machines, andforestry and24 m4c2c25 other means of production aquaculture
Household having
activities relating to
non-agriculture,
forestry and25 m4c2c26 Cost for transportaquaculture
Household having
activities relating to
non-agriculture,
forestry and26 m4c2c27 Cost of labor
aquaculture
Household having
activities relating to
non-agriculture,
forestry and27 m4c2c28 Loan interests
aquaculture
Household having
activities relating to
non-agriculture,
forestry and28 m4c2c29 Taxes, fees, charges
aquaculture
Household having
activities relating to
non-agriculture,
Cost of treament offorestry and29 m4c2c30 sewage and solid waste
aquaculture

0-8641

Numeric

0-59201

Numeric

0-27336

Numeric

0-24168

Numeric

1-4

Numeric

0-113981

Numeric

0-237502

Numeric

0-226075

Numeric

0-133216

Numeric

0-2037011

Numeric

0-261152

Numeric

0-582149

Numeric

0-5000

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

304

30 m4c2c31

Other costs

31 m4c2c32

Total costs

32 m4c2c33

Total costs divided byhouseholdHousehold having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture
Household having
activities relating to
non-agriculture,
forestry andaquaculture

0-880765

Numeric

0-5830543

Numeric

0-5830543

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

305

Explanatory documents for the VHLSS 2010
Name of the dataset
No

muc4d

29

variables

Variable namTopics
Scope
ProvinceAll
1 tinh2 huyenDistrictAll
3 xa
CommuneAll
4 diaban
Enumerator areaAll
5 hosoHousehold codeAll
Cash and kind sent as a giftor aid for domestic use by
non-members of the
6 m4dc2_01 household from overseas
All- Cash and kind (value) for
domestic use sent as a giftor aid by relatives residing
and working overseas
7 m4dc2_02 temporarilyAll
8 m4dc2_03 - Gift of housingAll- Gift of automobile(s) for
9 m4dc2_04 domestic use
All- Other gifts of assets for
10 m4dc2_05 domestic use
All
Cash and kind (value) for
domestic use sent as a giftor aid by non-members of
the household from within
11 m4dc2_06 the countryAll- Cash and kind (value) for
domestic use sent as a giftor aid by relatives residing
and working overseas
12 m4dc2_07 temporarilyAll
13 m4dc2_08 - Gift of housingAll- Gift of automobile(s) for
14 m4dc2_09 domestic use
All- Other gifts of assets for
15 m4dc2_10 domestic use
All
Wedding cash gifts after
deducting expenses of
16 m4dc2_11 guests' food and drinks
All
Funeral cash tributes after
deducting expenses of
17 m4dc2_12 guests' food and drinks
All
Social benefits for war
invalids, families of fallen
combatants, andindividuals/families with
18 m4dc2_13 revolutionary merits
All
Social benefits forbeneficiary households of
19 m4dc2_14 social policies
All
Assistance to overcome
20 m4dc2_15 natural disasters and fireAll
From types of insurance(excluding social, health and21 m4dc2_16 life insurance)
All
Interests of savings
deposits, stocks, shares,
22 m4dc2_17 lending, contributed capital All
Revenues from renting out
workshop floors, machines,
assets and facilities notincluded in sections ofsectoral production andbusiness (except housing,farming and forest land, andwater surface for
23 m4dc2_18 aquaculture production)All

Vietnam VHLSS 2010 Manual (Version 1.0)

Code
1-96
1-973
4-32248
1-91
13-24

Description
Numeric
Numeric
Numeric
Numeric

0-661227

Numeric

0-6612270-66509

Numeric
Numeric

0

Numeric

0-91240

Numeric

0-1112385

Numeric

0-193345
0-889908

Numeric
Numeric

0-472516

Numeric

0-207293

Numeric-20199-54384

Numeric

Numeric-12000-136907 Numeric

0-79642

Numeric

0,37618

Numeric

0-16010

Numeric

0-37427

Numeric

0-842162

Numeric

0-543781

Numeric

306

24 m4dc2_19
25 m4dc2_20
26 m4dc2_21
27 m4dc2_22
28 m4dc2_23
29 m4dc2_24

Revenues as donations fromorganizations, humanitarianaid, associations and unitsof production and business All
OthersAll
No informationAll
No informationAll
No informationAll
No information
All

Vietnam VHLSS 2010 Manual (Version 1.0)0-474550-648921

Numeric
Numeric

307

Explanatory documents for the VHLSS 2010
Name of the dataset
No

muc5a1

Variable naTopics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m5a1ma Expenditure code

Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
101-154

All-1-535

Numeric

All0-8000

Numeric

All-1-425

Numeric

All0-8000

Numeric

116
118
120
121
124
134
139
140
144
145
146
148
150
151
153

8 m5a1c2b
9 m5a1c3a
10 m5a1c3b

Numeric

154

115

7 m5a1c2a

Description
Numeric
Numeric
Numeric
Numeric
Numeric
Fragrant plain rice, specialty
rice?
Sticky rice?
Pork (with fat removed)?
Beef?
Buffalo meat?
Chicken meat?
Duck and other poultry meat?
Other types of meat? (goats,
dogs, sheep, wild animals,
birds,...)
Processed meat? (boiled porkpies, fried pork pies, roasted
pork, sausages,...)
Fresh shrimp, fish?
Other aqua-products andseafood? (crabs, snails,...)
Eggs of chickens, ducks,
Muscovy ducks, and geese?
Beans of various kinds?
Fruits?
Sugar, molasses?
Confectionery?
Alcohol of various kinds?
Beer of various kinds?
Bottled, canned, boxed
beverages?
Coffee?
Dried tea?
Cigarettes, tobacco for water
pipes?
Outdoors meals and drinks?
Other meals and drinks? (Other
food and foodstuff, additives,seasonings, ...)

101
102
110
111
112
113
114

Quantity
purchased/exchanged
Valuepurchased/exchanged
Quantity of self-subsidy,
gift or donation
Value of self-subsidy, giftor donation

10

variables

Vietnam VHLSS 2010 Manual (Version 1.0)

308

Explanatory documents for the VHLSS 2010
Name of the dataset
No

muc5a2

Variable naTopics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m5a2ma Expenditure code

14

variables
Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
101-154
101
102
103
104
105
106
107
108
109
110
111
112
113
114

115

116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145

Vietnam VHLSS 2010 Manual (Version 1.0)

Description
Numeric
Numeric
Numeric
Numeric

Numeric
Numeric
Plain rice? (including fragrantand specialty rice)
Sticky rice?
Maize? (in seed equivalent)
Cassava? (in fresh-type
equivalent)
Potato of various kinds? (infresh-type equivalent)
Wheat grains, bread, wheat
powder?
Flour noodle, instant rice
noodle/porridge?
Fresh rice noodle, dried rice
noodle?
Vermicelli?
Pork? (in equivalent of the pork
type with removed fat)
Beef?
Buffalo meat?
Chicken meat?
Duck and other poultry meat?
Other types of meat? (goats,
dogs, sheep, wild animals,
birds,...)
Processed meat (boiled porkpies, fried pork pies, roasted
pork, sausages,...)
Lard, cooking oil?
Fresh shrimp, fish?
Dried and processed shrimps,
fish?
Other aquatic products andseafood? (crabs, snails,...)
Eggs of chickens, ducks,
Muscovy ducks, geese?
Tofu?
Peanuts, sesame?
Beans of various kinds?
Fresh peas of various kinds?
Morning glory vegetables?
Kohlrabi?
Cabbage?
Tomato?
Other vegetables? (gourd, wintermelon,
cucumber, cabbage, squash...)Orange?
Banana?
Mango?
Other fruits? (rambutan melon,
papaya, guava, litchi, grapes,...)Fish sauce?
Salt?
MSG?
Glutamate?
Sugar, molasses?
Confectionery?
Condensed milk, milk powder?
Ice cream, yoghurt?
Fresh milk?
Alcohol of various kinds?
Beer of various kinds?

309

All
All

154
0.1-1000
0-22800

Bottled, canned, boxed
beverages? (pure water,
carbonated drinks, juice,fruit smoothies, pep drinks,...)
Instant coffee?
Coffee powder?
Instant tea powder?
Other dried tea?
Cigarettes, waterpipe tobacco?
Betel leaves, areca nuts, lime,
betel pieces?
Outdoors meals and drinks?
(breakfast, lunch, dinner)?
Other food and drinks? (otherprocessed food and foodstuff,
additives, seasonings, ...)
Numeric
Numeric

All0-1000

Numeric

All0-22800

Numeric

All

0-220

Numeric

All0-6800

Numeric

All

0-150

Numeric

All0-4000

Numeric

146
147
148
149
150
151
152
153

7 m5a2c2a Quantity consumed
8 m5a2c2b Value consumed
Consumed quantity of
9 m5a2c3a purchase or exchange
Consumed value of purchase
10 m5a2c3b or exchange
Consumed quantity of self11 m5a2c4a subsidy
Consumed value of self12 m5a2c4b subsidy
Consumed quantity of gift,
13 m5a2c5a donation, present
Consumed value of gift,
14 m5a2c5b donation, present

Vietnam VHLSS 2010 Manual (Version 1.0)

310

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc5b1variables

10
Description
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Pocket money for children?
Coal?
Coal briquette?
Petroleum?
Kerosene?
Mazut oil?
Diesel oil?
LPG?
Natural gas?
Firewood, husk, sawdust?
Farm by-products? (straw,
Other types of fuel?
Deposit fees for vehicles?
Matches, candles, fire stones,
Soap/ detergent, softening
Dish washing liquid, floorShampoo, conditioner?
Bath soap, shower gel?
Skin-nourishing cream,
Tooth paste and brush?
Toilet paper, razor?
Books, newspapers,
Books, newspapers forFresh flowers?(excluding
Lottery tickets?
Regular worship activities?
Hair cut, hair dressing
Other daily expenditures?
Numeric

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m5b1ma Expenditure code

Scope
All
All
All
All
All
All

7 m5b1c2

All

Code
1-96
1-973
4-32248
1-91
13-24
201-228
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
1-11500All

0-11500

Numeric

All0-2500

Numeric

All0-1170

Numeric

8 m5b1c3
9 m5b1c4
10 m5b1c5

Value consumed
Consumed quantity ofpurchase or exchange
Consumed quantity ofself-subsidy
Consumed quantity ofgift, donation, present

Vietnam VHLSS 2010 Manual (Version 1.0)

311

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc5b28

variables

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
6 m5b2ma Expenditure code

Scope
All
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24
301-336
301
302
303
304

305

306
307
308

309

310

311
312
313
314
315
316
317
318

319
320

321
322
Vietnam VHLSS 2010 Manual (Version 1.0)

Description
Numeric
Numeric
Numeric
Numeric

Numeric
Numeric
Fabrics?
Garment? (including
underwear)
Anti-mosquito nets andcotton gauze?
Kerchiefs, turbans, scarfs
of various kinds?
Mats, blankets, bed
sheets, pillows, curtains,table-cloth?
Other garment
accessories? (needle,
thread, socks,...)
Fees of tailoring, washingand ironing?
Shoes, slippers, wooden
underfoot?
Plastics, conical hats,
hats, umbrellas of various
kinds?
Electrical appliances: lightbulbs, electrical cords,
plugs, fuses,...?
Ceramics and glassware:bowls, plates, teapots,
cups,...?
Pots, saucepans, fryingpans, barrels, buckets?
Thermos, inner thermos?
Bags?
Torches, batteries forlighting, TVs, radio?
Hammock, cradles, cots,
prams?
Other expenditures onhousehold utensils?
Inner tubes, tires, andspare parts of bicycles?
Inner tubes, tires, andspare parts of scooters,
automobiles?
Maintenance and repair ofhousehold utensils?
Travel expenditure?
(including fees for boats,ferries, and others)
Paintings, photos,
ornamental plants?

312

323
324
325

336

Sports facilities?
Adult toys?
Child toys?
Envelops, postal stamps,
postal fees?
Fees of phone
subscription, calls, andrepairs
Internet (costs of
installation, subscription,access)Expenditures on plastic(cosmetic) surgeries, gym
exercises?
Entertainment (cinemas,
music, video, sports)?
Domestic holidays?
Overseas holidays?
Watches, eyewear,
jewellery?
Expenditures on othercultural activities?
Hiring domestic helps?
Other annual
expenditures?

326

327

328

329
330
331
332
333
334
335

7 m5b2c2

Consumed valueof purchase or
exchangeAll0-150000

Numeric

8 m5b2c3

Consumed quantityof self-subsidy, gift,
donation, present All

0-50000

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

313

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc5b314

variables

Variable na Topics
Province
1 tinh2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
Fees and charges on
administrative and legal
services for daily-life
requirements (certificates ofmarriage, birth, and death,
6 m5b3c2_1 notary services…)
Fund contributions? (funds
in aid of natural calamity
victims, for charitable
activities, poverty reduction,
7 m5b3c2_2 study encouragement,...)Cash contributions in lieu of
public labor and other8 m5b3c2_3 obligations?
Taxes of various kinds(except production taxes),
e.g. PIT, and taxes fortransfer of use rights ofhouses and residential
9 m5b3c2_4 land?
Engagement and wedding
parties of the household(after deducting
expenditures on guests'
10 m5b3c2_5 food and drinks)?
Funerals and deathanniversaries of thehousehold (after deducting
expenditures on guests'
11 m5b3c2_6 food and drinks)?
Organization of parties andentertaining activities?
(birthdays, opening
ceremonies, guest
12 m5b3c2_7 reception,...)
Gift, donation, assistance,
tributes, contributions todeath anniversaries… toother households? (in cash
13 m5b3c2_8 and kind)
Otherexpenditures?(damages forother people, non-student
body insurance, traffic
insurance, housing and
14 m5b3c2_9 assets insurance,...)

Scope
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24

Description
Numeric
Numeric
Numeric
Numeric

All0-120000

Numeric

All0-7000

Numeric

All0-4000

Numeric

All0-38500

Numeric

All0-60000

Numeric

All0-80000

Numeric

All0-30000

Numeric

All0-153150

Numeric

All0-74000

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric

314

Explanatory documents for the VHLSS 2010
Name of the dataset
No

muc6

42

variables

Variable na Topics
Scope
ProvinceAll
1 tinh2 huyenDistrictAll
3 xa
CommuneAll
4 diaban
Enumerator areaAll
5 hosoHousehold codeAll
6 m6ma_01 Automobile(s)All
7 m6ma_02 Motorbike(s)All
8 m6ma_03 Bicycle(s)All
Ship(s), boat(s), junk(s), outer
9 m6ma_04 part with a motorAll
Ship(s), boat(s), junk(s), outer
10 m6ma_05 part without a motor
All
11 m6ma_06 Other means of travelAll
12 m6ma_07 Pumping machine(s)All
13 m6ma_08 Electricity generator(s)All
14 m6ma_09 Printer(s)All
15 m6ma_10 Fax machine(s)All
16 m6ma_11 Landline telephone(s)All
17 m6ma_12 Mobile telephone(s)All
18 m6ma_13 Sewing machine(s)AllVideo player(s), DVDplayer(s), digital player(s),19 m6ma_14 satellite antennaAll
20 m6ma_15 Color TV(s)All
21 m6ma_16 Black and white TV(s)All
22 m6ma_17 Music rack of various kinds
All

Code
1-96
1-973
4-32248
1-91
13-24
0-37
0-37
0-37

Description
Numeric
Numeric
Numeric
Numeric

0-37

Numeric

0-37
0-37
0-37
0-37
0-37
0-37
0-37
0-37
0-37

Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric

0-37
0-37
0-37
0-37

Numeric
Numeric
Numeric
Numeric

23 m6ma_18 Radio/radio-cassette player(s) All
24 m6ma_19 Disk player(s)All
25 m6ma_20 Computer(s)All
26 m6ma_21 Camera(s), video recorder(s) All
27 m6ma_22 Refrigerator(s)All
28 m6ma_23 Air conditioner(s)All
Washing machine(s),29 m6ma_24 (clothes-) drying machine(s) All
30 m6ma_25 Electric fan(s)All
31 m6ma_26 (Bath) water heater(s)All
Gas cooker(s), magnetic
32 m6ma_27 cooker(s)
All

0-37
0-37
0-37
0-37
0-37
0-37

Numeric
Numeric
Numeric
Numeric
Numeric
Numeric

0-37
0-37
0-36

Numeric
Numeric
Numeric

0-35

Numeric

Electric cooker(s), electric rice
33 m6ma_28 cooker(s), pressure cooker(s) All
34 m6ma_29 Trolleys of various kinds
All
Cupboard(s), cabinet(s),35 m6ma_30 wardrobe(s) (of various kinds) All
36 m6ma_31 Bed(s)All
Desk(s), chair(s), long
37 m6ma_32 bench(es), dressing table(s) All
Vacuum cleaner(s),38 m6ma_33 dehumidifier(s), water filter(s) All
Microwave oven(s), baking
39 m6ma_34 oven(s)All
Juice extractor(s), citrus
40 m6ma_35 juicer(s)All
41 m6ma_36 Piano(s), keyboard(s)All
42 m6ma_37 Others
All

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric
Numeric
Numeric
Numeric

Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric

315

Explanatory documents for the VHLSS 2010
Name of the dataset
No

muc6b

11

variables

Variable na Topics
Scope
ProvinceAll
1 tinh2 huyenDistrictAll
3 xa
CommuneAll
4 diaban
Enumerator area All
5 hosoHousehold code All
Names ofdurablespurchased or
received or selfproduced over the
6 m6c2
past 10 years
All
Quantity of
durablespurchased or
received or selfproduced over the
7 m6c3
past 10 years
All
Year purchase orreceive or self8 m6c4t
produce itAllMonth purchase orreceive or self9 m6c4n
produce it
All
Value atpurchased
reception, self10 m6c5
productionAll
Remaining value
11 m6c6Allin current time

Code
1-96
1-973
4-32248
1-91
13-24

Description
Numeric
Numeric
Numeric
Numeric

1-37

Numeric-1-15

Numeric-1-12

Numeric-1-2010

Numeric

0-1080000

Numeric-1-1200000

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric

316

Explanatory documents for the VHLSS 2010
Name of the dataset
No

muc7

30

variables

Variable na Topics
Scope
ProvinceAll
1 tinh2 huyenDistrictAll
3 xa
CommuneAll
4 diaban
Enumerator areaAll
5 hosoHousehold codeAll
6 m7c1
Number of housesAll
7 m7c2
Total residential area?
All
Main material as poles (orpillars, or carrying walls) of
the house where household
8 m7c3
lives now
All

Code
1-96
1-973
4-32248
1-91
13-24
0,11
-1,660Description
Numeric
Numeric
Numeric
Numeric

1-5
1
2
3
4
5

Numeric
Reinforcement concrete
Bricks/stones
Iron/steel/good wood
Poor-quality wood/bamboo
Others

1-5
1
2
3
4
5

Numeric
Reinforcement concrete
Tiles (cement, terracotta)
Roof slabs (cement, metal)
Leave/straw/rolled roofing
OthersNumeric
Reinforcement concrete
Bricks/stones
Wood/metal
Calcareous soil/straw
Bamboo partitions/hardboards
OthersNumeric
Yes
No
Numeric

Numeric
Numeric
Numeric

9 m7c4Main material as roofing of
the house where household
lives nowAll

10 m7c5

Main material as walls or
surroundings of the house
where household lives now All

11 m7c6

Household pay rents?

All

12 m7c7AllAll-1-24000

Numeric

All-1-30000000

Numeric

15 m7c10

Value pay for rent
Duration of the existing
rental contract
Whole accommodation
were now put on sale
Any other residential landlots or houses

1-6
1
2
3
4
5
6
1-2
1
2
120-180000

All

1-2
1
2

Numeric
Yes
No

16 m7c11

receive rents from thoseresidential land lots orhouses

All

1-2
1
2

Numeric
Yes
No

17 m7c12

Value household received
from leasing residential
land and houses

All0-543781

Numeric

13 m7c8
14 m7c9

Vietnam VHLSS 2010 Manual (Version 1.0)

317

18 m7c13
19 m7c14

Expenditures on house
repair and maintenanceover the past 12 months
All
Main drinking water supplyAllof household

20 m7c15aTreat drinking water

21 m7c15b

Money has household
spent on water for drinking
and other daily activities
All

22 m7c16
23 m7c17

Spent on water for drinking
Alland other daily activities
Toilets household useAll

24 m7c18

Main lighting in household

25 m7c19

26 m7c19k

27 m7c20
28 m7c21

All

All

Spent on electricity for dailyAllconsumption (value)
Spent on electricity for daily
consumption (in Kwh)
All
Spent on electricity for daily
activities over the past 12
monthsAll
Treated daily-life wasteAllover the past 12 months

0-87977

Numeric

1-10
1
2
3
4
5
6
7
8
9
10
1-2
1
2

Numeric
tap water reaching the house
public tap water
drilled well
protected dug well
unprotected dug well
protected stream water
unprotected stream water
Bought water (in bottles, jars,
or small vehicles…)
rain water
OthersNumeric
Yes
No

1-2
1
2

Numeric
YesNo

0-8400
1-6,9
1
2
3
4
5
6
9
1-4
1
2

Numeric
Numeric
septic/semi-septic tanksuilabhdouble septic tankfishing bridge
Others
None
Missing
Numeric
National-grid electricity
Battery or generator or smallscale-hyrdo electricity

34Gas, oil lamps of various kinds
Others-1-23000

Numeric-1-2538

Numeric

0-280000

Numeric

1-6
1

Numeric
Somebody else collects it
Dumping into ponds, lakes,
rivers, streams
Dumping in a nearby site
Landfill burial
Burning
Others23
4
56

Vietnam VHLSS 2010 Manual (Version 1.0)

318

29 m7c22

30 m7c23

money has your householdon collection of daily-life
waste
All
Total expenditures on
housing, electricity, water,
waste
All

0-900

Numeric

0-280000

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

319

Explanatory documents for the VHLSS 2010
Name of the dataset
No

muc8

Variable name Topics
Scope
ProvinceAll
1 tinh2 huyenDistrictAll
3 xa
CommuneAll
4 diaban
Enumerator areaAll
5 hosoHousehold codeAll
6 m8c1aClassified as 'poor' housAll

7 m8c1bClassified as 'poor' housAll

8 m8c1c

Classified as 'poor' housAll

9 m8c1dClassified as 'poor' housAll

10 m8c1e

Classified as 'poor' housAll

11 m8c21_01

a. Support inpurchasing healthinsurance cards in
2009

All

12 m8c21_02

b. Reduction of andexemption from costsof medical
checks/treatment forthe poor in 2009All

13 m8c21_03

14 m8c21_04

53

variables
Code
1-96
1-973
4-32248
1-91
13-24
1-2,9
1
2
9
1-2,9
1
2
9
1-2,9
1
2
9
1-2
1
2
1-2
1
2

Description
Numeric
Numeric
Numeric
Numeric

1-3
1
23

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

c. Reduction of andexemption from tuition
fees for the poor in
2009
All

d. Policy-based
scholarships in 2009All

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric
Numeric
Yes
No
Missing
Numeric
Yes
No
Missing
Numeric
Yes
No
Missing
Numeric
Yes
No
Numeric
Yes
No

320

15 m8c21_05

16 m8c21_06

17 m8c21_07

18 m8c21_08

19 m8c21_09

20 m8c21_10

e. Vocational training
for the poor and lowincome earners in
2009

All
1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

f. Support in housing
and residential land forpoor households in
2009
All

g. Support incleaning/improving
daily-life water supplies
for poor households in
2009
All

h. Providing productive
land for poor ethnic
minorities households
in 2009
All

i. Extension services inagriculture, forestry
and fisheries in 2009
All

j. Support in migrating
abroad for employment
in 2009All

1
2
3

Numeric
Yes
No
Don’t know
Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

12
3
21 m8c21_11

22 m8c21_12

23 m8c21_13

k. Food aid in 2009All

l. Subsidized
petroleum/kerosene forfishingboat(s)/vessel(s) in
2009
All

m. Preferential credit
for the poor in 2009All

Vietnam VHLSS 2010 Manual (Version 1.0)

321

24 m8c21_14

25 m8c21_15

26 m8c22_01

27 m8c22_02

28 m8c22_03

29 m8c22_04

30 m8c22_05

31 m8c22_06

n. Support inmachinery, production
inputs (fertiliser, breed
animals, seedlings,...)
in 2009All
1
2
3

Numeric
Yes
No
Don’t know

1
2
3
9

Numeric
Yes
No
Don’t know
Missing1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t knowo. Others (kerosene,...)
Allin 2009

a. Support inpurchasing healthinsurance cards in2010

b. Reduction of andexemption from costsof medical
checks/treatment forthe poor in 2010

All

All

c. Reduction of andexemption from tuition
fees for the poor in
2010
All

d. Policy-based
scholarships in 2010

e. Vocational training
for the poor and lowincome earners in
2010

All

All

f. Support in housing
and residential land forpoor households in
2010
All

Vietnam VHLSS 2010 Manual (Version 1.0)

322

32 m8c22_07

33 m8c22_08

34 m8c22_09

35 m8c22_10

g. Support incleaning/improving
daily-life water supplies
for poor households in
2010
All
1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t knowh. Providing productive
land for poor ethnic
minorities households
in 2010All

i. Extension services inagriculture, forestry
and fisheries in 2010
All

j. Support in migrating
abroad for employment
in 2010All1
2
3

36 m8c22_11

37 m8c22_12

38 m8c22_13

39 m8c22_14

40 m8c22_15

41 m8c2ak. Food aid in 2010
All
l. Subsidized
petroleum/kerosene forfishingboat(s)/vessel(s) in
2010
All

m. Preferential credit
for the poor in 2010

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1
2
3

Numeric
Yes
No
Don’t know

1-10

Numeric

Alln. Support inmachinery, production
inputs (fertiliser, breed
animals, seedlings,...)
in 2010Allo. Others (kerosene,...)
Allin 2010

Number of months ofvocational training
providedAll

Numeric
Yes
No
Don’t know
Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

323

43 m8c3

The total area thathousehold has been
providedAll
In 2010, borrowed fromor remained indebted
to preferential credit
schemes for the poor All

44 m8c9

Living conditions inyour household
improved, comparedwith 5 years ago (2006) All

45 m8c10a

The first importancereason why it is 'thesame asbefore'/'worsened'

42 m8c2bAll500,57000

Numeric

1-2
12

Numeric
Yes
No

1-4,9
1
2
3
4
9

Numeric
Yes, substantially
Yes, slightly
The same as before
Worsened
Don't know

1-12

11
12

Numeric
Increased production
costs in agriculture,
forestry and fisheries
Low selling prices ofagricultural, forestry andfisheries products
Cattle and poultry sufferfrom epidemics or deathDroughts, floods, pests,
and harvest loss affectagricultural, forestry andfisheries production
Household member(s) issick or diesHigh prices of food,
foodstuff, and otherconsumer goods
Low incomes
Job loss orunderemployment
Conflicts or otherproblems among family
members/friends/neighbors
Decreased arable
land/water surface foraquaculture production
Unfortunate events (houseon fire, stealth, traffic
accident)
Other reasons

1-12

Numeric

1

2
3

4
5

6
7
8

9

10

46 m8c10b

The second
importance reason why
it is 'the same as
before'/'worsened'All

Vietnam VHLSS 2010 Manual (Version 1.0)

324

1

2
3

4
5

6
7
8

9

10

11
12

47 m8c10c

The third importancereason why it is 'thesame asbefore'/'worsened'

All

1-12

1

2
3

4
5

6
7
8

Vietnam VHLSS 2010 Manual (Version 1.0)

Increased production
costs in agriculture,
forestry and fisheries
Low selling prices ofagricultural, forestry andfisheries products
Cattle and poultry sufferfrom epidemics or deathDroughts, floods, pests,
and harvest loss affectagricultural, forestry andfisheries production
Household member(s) issick or diesHigh prices of food,
foodstuff, and otherconsumer goods
Low incomes
Job loss orunderemployment
Conflicts or otherproblems among family
members/friends/neighbors
Decreased arable
land/water surface foraquaculture production
Unfortunate events (houseon fire, stealth, traffic
accident)
Other reasons

Numeric
Increased production
costs in agriculture,
forestry and fisheries
Low selling prices ofagricultural, forestry andfisheries products
Cattle and poultry sufferfrom epidemics or deathDroughts, floods, pests,
and harvest loss affectagricultural, forestry andfisheries production
Household member(s) issick or diesHigh prices of food,
foodstuff, and otherconsumer goods
Low incomes
Job loss orunderemployment

325

9

10

48 m8c11a

Consumption of foodAll

49 m8c11b

Consumption offoodstuff

50 m8c12a

Consumption ofelectricity

All

51 m8c12b

Consumption of waterAll

52 m8c12c

Consumption of
housing

53 m8c13

Consumption ofclothing and footwear
by household been
sufficient to meetneeds over the last 30
days
All

11
12
1-4
1
2
3
4

All

1-4
1
2
3
4
1-4
1
2
3
4
1-4
1
2
3
4

All

1-4
1
2
3
4

1-4
1
2
3
4

Vietnam VHLSS 2010 Manual (Version 1.0)

Conflicts or otherproblems among family
members/friends/neighbors
Decreased arable
land/water surface foraquaculture production
Unfortunate events (houseon fire, stealth, traffic
accident)
Other reasons
Numeric
InsufficientSufficientMore than sufficient
No comment/ noapplicable
Numeric
InsufficientSufficientMore than sufficient
No comment/ noapplicable
Numeric
InsufficientSufficientMore than sufficient
No comment/ noapplicable
Numeric
InsufficientSufficientMore than sufficient
No comment/ noapplicable
Numeric
InsufficientSufficientMore than sufficient
No comment/ noapplicable

Numeric
InsufficientSufficientMore than sufficient
No comment/ noapplicable326

Explanatory documents for the VHLSS 2010
Name of the datasetNo

muc8vayno

12variables

Variable naTopics
Scope
1 tinhProvinceAll
2 huyenDistrictAll
3 xa
CommuneAll
4 diaban
Enumerator areaAll
5 hosoHousehold codeAll
6 m8maCodeAll
7 m8c4Preferential credit schemAll

8 m8c59 m8c6a
10 m8c6b

Value of this loan
All
Interest rates of the loan All
Time unitAll

11 m8c7
12 m8c8

Pay cost to get the loan All
The balance of the loan All

Code
1-96
1-973
4-32248
1-91
13-24
1-4
1-4
1
2
3
4
220-200000
0-18
1-4,9
1
2
3
4
9
0-20000-180000

Vietnam VHLSS 2010 Manual (Version 1.0)

Description
Numeric
Numeric
Numeric
Numeric

Numeric
Numeric
Numeric
Social Policy Bank
Employment Support Fund
Poverty Reduction Fund
Socio-political organisations
Numeric
Numeric
Numeric
Month
Quarter
6 months
Year
Missing
Numeric
Numeric

327

Explanatory documents for the VHLSS 2010
Name of the datasetNottchung

Variable name Topics
1 tinhProvince
2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 hosoHousehold code
Income/Income &6 quyen
Expenditure
7 tsphieu
Questionnaire
8 ttntUrban/Rural

9 dantoc

118

variables

Household head's
ethnicity

Scope
All
All
All
All
All

Code
1-96
1-973
4-32248
1-91
13-24

Description
Numeric
Numeric
Numeric
Numeric

All
All
All

1
1
1-2
1
2

Numeric
Numeric
Numeric
Yes
No

All

1-56
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42

Numeric
Kinh
Tay
Thai
Chinese
Khmer
Muong
Nung
Hmong (meo)
Dao
Ngai
Jarai
Ede
Bana
SedangSan Chay (Cao lan - san chi)
Co ho
Cham
San diu
Hre
Mnong
Raglai
StiengBru - Van kieu
Tho
Giay
Co tu
Gie trieng
Ma
Kho mu
Co
Ta oi
Choro
Khang
Singmun
Hanhi
Churu
Lao
La chiLa ha
Phu laLahu
Lu

Vietnam VHLSS 2010 Manual (Version 1.0)

Numeric

328

43
44
45
46
47
48
49
50
51
52
53
54
55
56
1-2
1
2
1-90
1-90
1-31
1-12
1-15

Lolo
Chut
Mang
PathenCo lao
Cong
Bo y
Si la
Pu peoBrau
O Du
Ro MamForeigner
Unspecified
Numeric
Yes
No
Numeric
Numeric
Numeric
Numeric
Numeric

All

1-2
1
2

Numeric
Yes
No

All

1-5

Numeric

All0-455500

Numeric

All0-46184

NumericAllAll

00-842113

Numeric
Numeric

AllAll

0-176610
0-163145

Numeric
Numeric

AllAll

0-269010-24523

Numeric
Numeric

All0-176552

Numeric

0-935096

Numeric

1-2
12

Numeric
Yes
No

1-2
1
2

Numeric
Yes
No

10 phdichInterpretationAll

11 dtv
12 dt
13 ngaydt
14 thangdt
15 tsnguoi

Surveyor's ID code
Team leader' ID code
Surveyed date
Surveyed month
Hosehold size
Having domestic help or
migrant labourers?

All
All
All
All
All

16 m1b1

17 tsmuc1b

18 m2act

19 m2atn

20 m2btn
21 m4atn1
22 m4atn2
23 m4atn3
24 m4atn4
25 m4atn5
26 m4atn6

Number of domestic help
or migrant labourers
Sum of questions 11k
and 14 in Section 2:
Education
Sum of questions 12 and13 in Section 2:
Education (Greenquestionnaire)
Sum of questions 12 and13 in Section 2:
Education (Yellow
questionnaire)
Total of Q11-section 4A
Total of Q12 a,b-section
4A
Total of Q23-section 4A
Total of Q24a,b-section
4A
Total of Q26-section 4A
Total of Q28a,b,c,d,esection 4A

28 m4b21a

Total income from wages,
including bonus, subsidy All
Raised livestock in past
12 month?
All

29 m4b21b

Due to dissater affecting
to production

27 m4atn

All

Vietnam VHLSS 2010 Manual (Version 1.0)

329

30 m4b21t
31 kydt

4B21T. Sum of Q5, fromrows 1 to 18 (revenue
from livestocks)
All
Surveyed periodAll

32 m4b0c1

Used or managed farmland, forestry land or
aquaculture surface waterover the last 12 months All

34 m4b1a4BOTN. Sum of Qestion
5
Harvested any products
from cultivation over thelast 12 months?

35 m4b1b

Any impacts of natural
disasters, diseases, etc.
which have caused loss
in production

33 m4b0tn

36 m4b11t
37 m4b12t
38 m4b13t
39 m4b14t
40 tongthu_01
41 tongthu_02
42 tongthu_03
43 tongthu_04
44 tongthu_05
45 tongthu_06
46 tongthu_07
47 tongthu_08
48 tongthu_09
49 tongthu_10
50 tongthu_11
51 tongthu_12

52 tongthu_13
53 tongthu_14
54 m4b22t

55 m4b21c

4B11T. Sum of Question
8
4B12T. Sum of Question
7
4B13T. Sum of Question
7
4B14T. Sum of Question
7
Total of household
revenue
Income fromsubsidies,scholarship
Income from healthsubsidies
Income from wage
revenue from crops
Revenue from livestock
Revenue from
Agricultural Services
Revenue from hunting,trapping
Revenue from forestry
Revenue fromaquaculture
Revenue from non-farmbusiness
Other income

0-13088807
1-3

Numeric
Numeric

1-2
12

Numeric
Yes
No

All

1-2

Numeric

All

1-2
1
2

Numeric
Yes
No

All

1-2
1
2

Numeric
Yes
No

All

0-393319

Numeric

All0-798447

Numeric

All0-3508317

Numeric

All0-369377

Numeric

All1387-16728795

Numeric

All0-46184

Numeric

All
All
All
All

0-142745
0-935096
0-66500
0-3508317

Numeric
Numeric
Numeric
Numeric

All0-13088807

Numeric

AllAll

0-406500-485583

Numeric
Numeric

All0-67000

Numeric

AllAll

0-3328050
0-6920845

Numeric
Numeric

Other money received,
not considered as income All
Income from house andland renting out
All
4B22T. Sum of Q5, row
19 (revenue fromAll
4B21C. Sum of Q19,
from rows 1 to 10 (cost of
husbandry)All-20149-1112385 Numeric0-543781

Numeric

0-40650

Numeric

0-6950799

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

330

57 m4b31a

4B22C. Sum of Q19, row
11 (cost of hunting)Allowned machines,
equipment and tools for
agricultural services overthe last 12 months?
All

58 m4b31b

natural disasters andepidemics… damaged
production

56 m4b22c

All

61 m4b41a

4B3T. Sum of Q5(revenue from agricultural
services)All
4B3C. Sum of Q17 (costof agricultural services)All
earned revenues fromplanting/management/pro
tection/attending offorests, breeding forest
trees,
All

62 m4b41b

natural disasters,
epidemics, … damaged
production?

59 m4b3t
60 m4b3c

63 m4b4t
64 m4b4c
65 chisxkd_1
66 chisxkd_2
67 chisxkd_3
68 chisxkd_4
69 chisxkd_5
70 chisxkd_6
71 chisxkd_7
72 chisxkd_8
73 thunhap
74 thubq
75 chikhac_1
76 chikhac_2
77 chikhac_3
78 chikhac_4
79 chikhac_5
80 chikhac_6
81 chikhac_7
82 chikhac_8
83 chikhac_9

84 m4b5c1aAll

4B4T. Sum of Q3f(revenue from forestry)All
4B4C. Sum of Q14 (costof forestry)All
Expenditure on business All
Expenditure on crops
All
Expenditure on livestock All
Expenditure on
agricultural services
All
Expenditure on hunting,trapping..
All
Expenditure on forestry All
Expenditure on
aquaculture
All
Expenditure on non-farmbusinessAll
IncomeAll
Income per capita
All
ExpenditureAll
ExpenditureAll
ExpenditureAll
ExpenditureAll
ExpenditureAll
ExpenditureAll
ExpenditureAll
ExpenditureAll
ExpenditureAllhousehold kept, bred fish,
shrimps or other aquatic
products;
All0-4440

Numeric

1-2
12

Numeric
Yes
No

1-2
1
2

Numeric
Yes
No

0-485583

Numeric

0-322355

Numeric

1-2
12

Numeric
Yes
No

1-2
1
2

Numeric
YesNo

0-67000

Numeric

0-31768
0-81597890-1208990
0-6950799

Numeric
Numeric
Numeric
Numeric

0-4440

Numeric

0-322355
0-31768

Numeric
Numeric

0-3200105

Numeric

0-5830543
1387-8569006
34-2380280-455500
0-260000
0-28170
89-26343
0-133620-241600
0-155537
0-1092000
0-280000

Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric
Numeric

1-2
1

Numeric
Yes

Vietnam VHLSS 2010 Manual (Version 1.0)

331

85 m4b5c1b86 m4b5t
87 m4b5c

88 m4c1

89 m4ctt

90 m4ct
91 m4cct

92 m4cc
93 m4dtn
94 m5a1ct
95 m5a1c4
96 m5a1c5
97 m5a2ct
98 m5a2c6
99 m5a2c7
100 m5a2c8
101 m5b1ct
102 m5b1c6
103 m5b1c7
104 m5b1c8
105 m5b2ct
106 m5b2c4
107 m5b2c5
108 m5b3ct
109 m6c7

natural disasters,
epidemics, … damaged
production?

All

4B5T. Sum of Q5(revenue fromaquaculture)All4b5c. Sum for Q19 (costsof aquaculture)All
any activities of your own
production and business,
non-agricultural, forestry
and aquaculture services;
processing of agricultural,
forestry and aquatic
products over the past
12 months?
All

4CTT. Total revenue
from activities (sum ofAll
4CT. Total revenue from
activities divided byhouseholds (sum of Q18) All
4CCT. Total cost ofactivities (sum of Q32)
All
4CC. Total revenue from
activities divided byhouseholds (sum of Q33) All
4DTN. Sum of Q2 items(other revenues)
All
5A1CT. Sum (Q4-5)
All
4. Sum of Q2B (Codesfrom 101-154)
All
5. Sum of Q 3B (Codesfrom 101-154)
All
5a2ct. Sum for question
2b (Codes from 101-154) All
6.Sum for Q3b (Codesfrom 101-154)
All
7.Sum for Q4b (Codesfrom 101-154)
All
8.Sum for Q5b (Codesfrom 101-154)
All
5b1ct. Sum for Q2(Codes from 201-228)
All
6. Sum for Q3 (Codes
201-228)
All
7.Sum for Q4 (Codes
201-228)All
8.Sum for Q5 (Codes
201-228)All
5b2ct. Sum (Q4-5)
All
4.Sum for Q 2
All
5. Sum for Q 3
All
5b3ct . Sum for question
2
All
7. Sum for question 5,
Section 6
All

2

No

1-2
1
2

Numeric
YesNo

0-3328050

Numeric

0-3200105

Numeric

1-2
12

Numeric
YesNo

0-6920845

Numeric

0-6920845

Numeric

0-5830543

Numeric

0-5830543

Numeric-20149,1112385 Numeric0-28170
Numeric
0-28170

Numeric

0-12812

Numeric

89-26343

Numeric

0-26343

Numeric

0-6800

Numeric

0-4000

Numeric

0-13362

Numeric

0-13362

Numeric

0-2600

Numeric

0-13860-241600
0-1611100-120800

Numeric
Numeric
Numeric
Numeric

0-155537

Numeric

0-1092000

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

332

110 m3c1

111 m3ct1
112 m3ct2
113 m3ct3

114 m3ct
115 m3tn
116 m4b15t

117 m4b1t
118 m4b1c

household visited medical
establishments or had
home visits by physicians
for check-ups andtreatment over the last 12
months? Section 3All

3ct1. Sum for Q5, Section
3All
3ct2. Sum for Q6, Section
3All
3ct3. Sum for Q11,
Section 3All
3ct. Healthcare
expenditures (3ct1 + 3ct2
+ 3ct3 + Q13 + Q14)
All
3tn. Sum for Q15
All
4B15T. Sum of Q5,
Section 4All
4B1T. Total revenues
from crop production(4B11T+4B12T+4B13T+
4B14T+4B15T)
All
Total costs of crop
production (Sum of Q2e) All

1-2
1
2

Numeric
Yes
No

0-192500

Numeric0-246000

Numeric

0-16160

Numeric

0-260000
0-142745

Numeric
Numeric

0-10502

Numeric

0-3508317

Numeric

0-1208990

Numeric

Vietnam VHLSS 2010 Manual (Version 1.0)

333

Explanatory documents for the VHLSS 2010
Name of the dataset
NoweightVariable naTopics
1 tinhProvince
2 huyenDistrict
3 xa
Commune4 diaban
Enumerator area
5 wt9
weight5variables
Scope
All
All
All
All
All

Code
1-96
1-973
4-322481-91
369-7936

Vietnam VHLSS 2010 Manual (Version 1.0)

Description
Numeric
Numeric
Numeric
Numeric

Numeric

334

Attachment 3

Province Map
1. Six regions

Vietnam VHLSS 2010 Manual (Version 1.0)

335

2. Eight regions

Vietnam VHLSS 2010 Manual (Version 1.0)