Methodology Statement
Esri Thailand: 2019 Demographic Data
Updated Document Date: November 6th, 2020

Contents
Introduction .................................................................................................................................................. 1
Geographic Levels ......................................................................................................................................... 1
Data Collection and Source ........................................................................................................................... 1Methodology................................................................................................................................................. 7Introduction
Esri Thailand demographic data provides key population and household attributes reported by bothgovernment agencies including Department of Provincial Administration, National Statistical Office,Community Development Department, and Thai private sector company GlobeTech Co., Ltd. Esri
Thailand uses this information to create the Esri Thailand demographic dataset. In this document,
methods and definitions of the data will be explained in detail.

Geographic Levels
This dataset covers the administrative boundary of province, district, and sub-district for the wholecountry of Thailand.
•••

77 provinces
928 districts
7,436 subdistricts

Data Collection and Source
The total population of Thailand in 2019 was 66,558,935 people which is reported by Department ofProvincial Administration. The source of each data topic is provided in the following table:
Variable

Area

Data Source

BangkokDepartment of Provincial Administration

All Other Provinces

Department of Provincial Administration

Population by Age

Methodology: Esri Thailand 2019 Demographic Data
Variable
Population by
Education

Population byOccupation

Area

Data Source

Bangkok

National Statistical Office

All Other Provinces

The Community Development Department

Bangkok

National Statistical Office

All Other Provinces

The Community Development Department

Bangkok

NOSTRAAll Other Provinces

Department of Provincial Administration

Bangkok

National Statistical Office

All Other Provinces

Department of Provincial Administration

IncomeSpending••••

Department of Provincial Administration (DOPA) provides population data by age. This is themost reliable source of Thai data and it is updated and reported annually. The data is reported
in sub-district level and the latest version of data was published in 2019.
National Statistical Office (NSO) of Thailand is another source of Thai data. However, most of
NSO data are provided at the provincial level, not sub-district level.
The Community Development Department (CDD) is responsible for supporting community in thearea of education and people engagement. It aims to increase community development andstability. Every year, the CDD collects quality of living data from a sample of people who have
lived in their household for more than 6 months. The data is collected in each sub-district inevery province of Thailand.
GlobeTech Co., Ltd. develops and provides digital maps with comprehensive databases and highcoverage under the “NOSTRA” brand in Thailand.

1.1 Age
Population by Age is provided by Department of Provincial Administration (DOPA) and is current as ofMarch 2019. Data include:••

Population by age, age less than 1 year old to age greater than 101 years old.
Population by age groups by 5 year range, for example 0 – 4, 5 – 9 to age greater than 100 years
old.

However, total population by age or age ranges do not include the following population:•••

Central house registered male and female population
Male and female population in other nationalities (Non-Thai)
Male and female migrant population.

Prepared By: Esri Thailand, ©2020

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Methodology: Esri Thailand 2019 Demographic Data
1.2 Education
Population by education was categorized into two groups as follows:••

Uneducated population or never went to school.
Educated population categories include:o Kindergarten / Child Centero Lower than Primary Levelo Primary Levelo Middle Schoolo High Schoolo Diploma or Equivalento Bachelor's Degree or Equivalento Postgraduate Degree

Esri Thailand is using two data sources for Population by Education
1. In the Bangkok area, the data was provided by National Statistical Office (NSO).
2. In other provinces, the data was provided by The Community Development Department (CDD),
Ministry of Interior. The data is collected by population sampling for the discriminant indicatorsof the quality of life survey. The population samplings are only from household members who
have lived over 6 months in the household. The source of data is from year 2019.
In order to calibrate the number to equal the DOPA total population, we are using the percentage ofpopulation by education in each level to calculate its value based on total population by age.

1.3 Occupation
Population by occupation was categorized into groups as follows:•Employed population which are grouped by:o Agriculture - Rice Fields
o Agriculture - Farmingo Agriculture - Gardeningo Agriculture - Fisheryo Agriculture - Livestocko In Civil Serviceo State Enterprise Employees
o Company Employees
o General Contractors
o In Tradeo In Personal Businesso Other Occupations

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Methodology: Esri Thailand 2019 Demographic Data•

Unemployed population which are grouped by:o No occupation (population age 0 – 3 years old) and Population who are unemployed.
o Population age 3 – 15 years old and population age greater than 15 years old who arestudying.
Esri Thailand is using two data sources for Population by occupation

1. In the Bangkok area, the data was provided by National Statistical Office (NSO).
2. In other provinces, the data was provided by The Community Development Department (CDD),
Ministry of Interior. The data is collected by population sampling for the discriminant indicatorsof the quality of life survey. The population samplings are only from household members who
have lived over 6 months in the household. The source of data is from year 2019.
In order to calibrate the number to equal the DOPA total population, we are using the percentage ofpopulation by occupation in each level to calculate its value based on total population by age. Note thatthe data excludes population age 0-4 years old.

Picture 1 Sample data of Population by Occupation in Chonburi province

1.4 Average Income
Average household income (Baht/year) was classified by sub-district level from 2 data sources.
1. In the Bangkok area, the data has been provided by NOSTRA 2019.
2. In other provinces, the data was provided by The Community Development Department (CDD),
Ministry of Interior. The data is collected by population sampling for the discriminant indicators

Prepared By: Esri Thailand, ©2020

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Methodology: Esri Thailand 2019 Demographic Dataof the quality of life survey. The population samplings are only from household members whohave lived over 6 months in the household. The source of data is from year 2019.

Picture 2: Sample data of Average Income

1.5 Average Spending
Average spending household (Baht/Year) was classified by sub-district level from 2 data sources.
1. In the Bangkok area, the data has been provided by NSO in year 2017. We don’t use the data inrecent years because it is provided only in province level. However, year 2017 is the latest yearthat NSO provided data in sub-district level.
2. In other provinces, the data was provided by The Community Development Department (CDD),
Ministry of Interior. The data is collected by population sampling for the discriminant indicatorsof the quality of life survey. The population samplings are only from household members whohave lived over 6 months in the household. The source of data is from year 2019.
Total Spending is calculated by multiplying the 2017 average spending by the 2019 households.

Prepared By: Esri Thailand, ©2020

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Methodology: Esri Thailand 2019 Demographic Data

Picture 3: Sample data of Average Spending

Prepared By: Esri Thailand, ©2020

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Methodology: Esri Thailand 2019 Demographic Data

Methodology
Due to the variety of the data sources, we have the steps to make the data variables related. The
summary of methodology of each dataset is as table below.

Variables

Household

Area

Data SourceThe
wholeCountry

Department ofProvincial
Administration(DOPA)

BangkokDepartment ofProvincialAdministration(DOPA)

Population byAge
OtherProvinces

BangkokDepartment ofProvincial
Administration(DOPA)

National
StatisticalOffice
(NSO)

Base

ActualNumber in
subdistrictData
updatedin yearFrequency

2019

Annually

Actual Number

Thai and non-Thairesidence

2019

Annually

Actual Number

Thai residence only2019

Annually

Actual Number

Thai residence only

Annually

Using the percentage ofPopulation byEducation in each levelto calculate its value
based on Total
Population by Age
Percentage x Pop by
Age in each subdistrict(by gender)

Thai residence only

Annually

Using actual number
which has different
data source from
Population by Age(Actual number x
Actual total)/100 =Percentage thenPercentage x Pop by
Age (by gender))

Other
Provinces

Thai residence only

(CDD)

Prepared By: Esri Thailand, ©2020

Remark(Registeredpopulation)
ActualNumber insubdistrict(Registeredpopulation)
ActualNumber in
subdistrict(Registeredpopulation)

Percentage
base divided
by educationlevel inprovince

2019

Population by
Education
The
Community
Development
Department

Methodology

Percentage
base divided
by educationlevel insubdistrict

2019

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Methodology: Esri Thailand 2019 Demographic Data

Variables

Area

Bangkok

Data Source

National
StatisticalOffice(NSO)

Base

Percentage
base divided
byoccupationlevel inprovinceData
updatedin year2019

Frequency

Methodology

AnnuallyUsing the percentage ofPopulation byeducation in each levelto calculate its value
based on Total
Population by AgePercentage x Pop by
Age in each subdistrict(by gender)

Thai residence only

Annually

Using actual number
which has different
data source from
Population by Age(Actual number x
Actual total)/100 =Percentage thenPercentage x Pop by
Age (by gender))Thai residence only

Annually

Using data fromsampling survey andcalculate average
income per year in
subdistrict level

Thai residence only

Annually

Using data fromsampling survey andcalculate average
income per year in
subdistrict level

Thai residence only

Population by
Occupation

OtherProvincesThe
Community
Development
Department(CDD)

BangkokNOSTRA

Other
Provinces

The
Community
Development
Department

Percentage
base divided
byoccupationlevel insubdistrict

Actualnumber of
averageincomehouseholdper year in
subdistrict

2019

2019

RemarkIncome(CDD)

Actualnumber ofaverage
incomehouseholdper year in
subdistrict

2019

•
•

Spending

Bangkok

National
StatisticalOffice(NSO)

Actualnumber of
averagespending
householdper year in
subdistrict

2017

Annually

Using data fromsampling survey andcalculate averagespending per year in
subdistrict level•

Prepared By: Esri Thailand, ©2020

Thai residence.
CDD doesn’t
provide data in
Bangkok area sowe use NSO data.
NSO data might
not be as
accurate as itcomes fromsampling size of
only 50,000
households forthe wholecountry.
In year 2018
onwards, NSO

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Methodology: Esri Thailand 2019 Demographic Data

Variables

Area

Data Source

Base

Data
updatedin yearFrequency

Methodology

Remarkchanged tocollecting data by
province level
instead of subdistrict level. As aresult, we use
2017 sub-districtlevel averagespending dataand calculate
total spending
using 2019 total
households.

OtherProvincesTheCommunity
Development
Department(CDD)

Prepared By: Esri Thailand, ©2020Actual
number ofaveragespending
householdper year in
subdistrict

2019

Annually

Using data fromsampling survey andcalculate averagespending per year in
subdistrict level

Thai residence only

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