Developing the Sample Design 

for the New Annual Integrated 

Economic Survey

Katherine Jenny Thompson, Senior Mathematical Statistician

Associate Directorate for Economic Programs

Any opinions and conclusions expressed herein are those of the author(s) and do not reflect the views of the U.S. Census Bureau. The 

Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure 

avoidance practices applied. (CBDRB-FY23-ESMD010-003).
Acknowledgements 

James Hunt*

Amy Newman-Smith*

Laura Bechtel

Nicole Czaplicki

Stephen Kaputa

Adam Smeltz

Justin Z. Smith

Lucas Streng

Thomas Kirk White

Robert Miller

Joseph Haskell 

Shelby Plude

Michael McElhatten

Valerie Mastalski

Christina Gouvatsos

Ahntuan Ty

Suiyun Chen

Gerald A McGarvey

Yeng Xiong

Michael Christen

Quatracia (Traci) Lucky

Carol Caldwell (retired)

James Burton

*Co-leads, with myself (katherine.j.Thompson@census.gov)
Definitions 

• Sector: an area of the economy in which businesses share the same or related business activity, product, or service (www.investopedia.com)

• Industry: a group of companies that are related based on their primary business activities or service ( www.investopedia.com)

• Industrial classification: industry code assigned to an individual business, usually based on the business’ largest source(s) of revenue

• NAICS: North American Industry Classification System

• Digits indicate level of detail used for classification (more digits = more criteria)
More Definitions

• Establishment – a single business location

• Company – any formal business entity for profit, which may be a corporation, a 

partnership, association or individual proprietorship (https://dictionary.law.com/)

• Multi-unit company 

• Single-unit company
The Project

• Replace six annual surveys with one annual survey

• Recommended by National Academy of Science Panel (2018)

• Annual Integrated Economic Survey (AIES)

• Requirements for new survey

• National Industry estimates 

• At least 5 key items (multipurpose)

• C.V. target ≈ 2%

• Disaggregated NAICS levels: 4-digit NAICS (NAICS4), 5-digit NAICS (NAICS5), 6-digit NAICS (NAICS6)

• Geographic Industry estimates 

• 4 key items

• C.V. target ≈ 15%

• Aggregated NAICS levels: 3-digit NAICS (NAICS3)

• 23 “Direct use” states

• 4 “Balance of region” categories
Obtain

Allocations

Compute 

Inclusion 

Probabilities

Select 

Stratified 

Sequential 

Samples

Compute 

JOINT 

inclusion 

probabilities

Obtain 

adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability

Stratification

Overview of AIES Sample Design Process

Sector Processing

If all industries in a sector do 

not meet c.v. constraints

Revise allocations 

Complexity 

Certainty 

Companies

Noncertainty 

Companies

Sector 

11

Sector 

21

•••

Sector 

72

Sector 

81

Sampling 

Frame
Sampling Frame...

Company Establishment Sector Industry NAICS6 State 2020 

Payroll

2020 

Emp

2017 

Receipts

Global 

Dynamics,

Inc.

Mom & Pop 

Hardware 1 Retail Trade Hardware Stores 444130 MO 600 20 1,380

Mom & Pop 

Hardware 2 Retail Trade Hardware Stores 444130 MO 800 27 1,840

Mom & Pop 

Hardware 3 Retail Trade Hardware Stores 444130 MO 762 25 1,753

GD Plant Manufacturing

Bolt, Nut, Screw, 

Rivet, & Washer 

Manufacturing

332722 TN 9,452 189 16,068

Dad’s 

Warehouse

Wholesale

Trade

Hardware 

Merchant 

Wholesalers

423710 TN 475 16 489

The Shop The Shop Retail Trade Hardware Stores 444130 MO 113 4 237

Company Establishment Sector Industry NAICS6 State 2020 

Payroll

2020 

Emp

2017 

Receipts

Global 

Dynamics,

Inc.

Mom & Pop 

Hardware 1 Retail Trade Hardware Stores 444130 MO 600 20 1,380

Mom & Pop 

Hardware 2 Retail Trade Hardware Stores 444130 MO 800 27 1,840

Mom & Pop 

Hardware 3 Retail Trade Hardware Stores 444130 MO 762 25 1,753

GD Plant Manufacturing

Bolt, Nut, Screw, 

Rivet, & Washer 

Manufacturing

332722 TN 9,452 189 16,068

Dad’s 

Warehouse

Wholesale

Trade

Hardware 

Merchant 

Wholesalers

423710 TN 475 16 489

The Shop The Shop Retail Trade Hardware Stores 444130 MO 113 4 237

Sampling UnitSampling Unit 

Components

Classification 

Information Geographic 

Information

Quantitative 

Variables Measure of Size 

(MOS)

Multi-unit

Multi-sector

Multi-state

Single-units

Single-sector

Single-state
Stratification

Complexity 

Certainty 

Companies

Noncertainty 

Companies

Sector 

11

Sector 

21

•••

Sector 

72

Sector 

81

Sampling 

Frame

1. Operate in (historically) designated “certainty” industries

2. Operate in a multiple sectors or industries

1. Operate in a single sector

2. Generally operate in one industry (NAICS4)

Sector frames
Industry 1 Industry 2 Industry K

2 Industries

> 1 Geo

Region 1 

Direct Use State 1

•••

Region 1 

Balance of Region

Region 4 

Direct Use State 1

•••

Region 4 

Balance of Region

•••

Zero MOS

> 1 Geo

Region 1 

Direct Use State 1

Region 1 

Balance of Region

Region 4 

Direct Use State 1

Region 4 

Balance of Region

•••

•••

•••

••• •••

•••

•••

> 1 Geo

Region 1 

Direct Use State 1

Region 1 

Balance of Region

Region 4 

Direct Use State 1

Region 4 

Balance of Region

Only applies to sectors 44-45 and 62 

Industry is NAICS3: BROAD STRATUM

27 Geographic Strata per Industry (NAICS3)

Operates establishments 

in more than one state

Sector Processing: 

Stratification for Noncertainty Companies 
Digression #1:

Establishment (Business) 

Sample Survey Designs

• Populations are skewed!

• Small number of large companies

• Majority small companies

• Publish TOTALS (and Ratios)

• Sample design accounts for skewed 

distribution in

• Stratification (size)

• Allocation (# sampled units)

• Unit inclusion probability
Digression #2: Allocation for a Multipurpose 

Survey Sampled from a Skewed Populatoin

Sampling Strata

1 2 3 4 5

Number of Units (Nh) 760 146 53 20 21

Total Measure of Size 

(MOSh) 39023 17675 9035 4421 6564

Average Size Per Unit 51.4 121.1 170.5 221.1 312.6

Biggest 

value

per unit 

Small 

number 

of units

Smallest 

value

per unit 

Large 

number 

of units
1 2 3 4 5

Number of Units (Nh) 760 146 53 20 21

Total Measure of Size 

(MOSh) 39023 17675 9035 4421 6564

Average Size Per Unit 51.4 121.1 170.5 221.1 312.6

Allocation for sample size (n) of 50 from Population (N) of 1000

nnh ≈ nn

NNh

NN = same sampling rate in each stratum (textbook for multipurpose samples)

1 2 3 4 5

Number of Units (Nh) 760 146 53 20 21

Total Measure of Size 

(MOSh) 39023 17675 9035 4421 6564

Average Size Per Unit 51.4 121.1 170.5 221.1 312.6

Proportional Allocation 

(units) 38 7 3 1 1

1 2 3 4 5

Number of Units (Nh) 760 146 53 20 21

Total Measure of Size 

(MOSh) 39023 17675 9035 4421 6564

Average Size Per Unit 51.4 121.1 170.5 221.1 312.6

Proportional Allocation 

(units) 38 7 3 1 1

Proportional Allocation 

(MOS) 25 12 6 3 4

nnh ≈ nn

MMMMMMh

∑h MMMMMMh

= sample allocated based on relative stratum size (MOS)

1 2 3 4 5

Number of Units (Nh) 760 146 53 20 21

Total Measure of Size 

(MOSh) 39023 17675 9035 4421 6564

Average Size Per Unit 51.4 121.1 170.5 221.1 312.6

Proportional Allocation 

(units) 38 7 3 1 1

Proportional Allocation 

(MOS) 25 12 6 3 4

Power Allocation

MMMMMMh

17 12 8 6 7

nnh ≈ nn

MMMMMMh

∑h MMMMMMh

= same, but reduces impact of disproportionately large total MOS

in stratum 1
Obtain

Allocations

Compute 

Inclusion 

Probabilities

Select 

Stratified 

Sequential 

Samples

Compute 

JOINT 

inclusion 

probabilities

Obtain 

adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability
Industry 1 Industry 2 Industry K

2 Industries

> 1 Geo

Region 1 

Direct Use State 1

•••

Region 1 

Balance of Region

Region 4 

Direct Use State 1

•••

Region 4 

Balance of Region

•••

Zero MOS

> 1 Geo

Region 1 

Direct Use State 1

Region 1 

Balance of Region

Region 4 

Direct Use State 1

Region 4 

Balance of Region

•••

•••

•••

••• •••

•••

•••

> 1 Geo

Region 1 

Direct Use State 1

Region 1 

Balance of Region

Region 4 

Direct Use State 1

Region 4 

Balance of Region

Obtain

Allocations

Compute 

Inclusion 

Probabilities

Select 

Stratified 

Sequential 

Samples

Compute 

JOINT 

inclusion 

probabilities

Obtain 

adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability

Small allocated sample size Designate any

stratum containing 15 

or fewer units as 

certainty
Industry 1 Industry 2 Industry K

2 Industries

> 1 Geo

Region 1 

Direct Use State 1

•••

Region 1 

Balance of Region

Region 4 

Direct Use State 1

•••

Region 4 

Balance of Region

•••

Zero MOS

> 1 Geo

Region 1 

Direct Use State 1

Region 1 

Balance of Region

Region 4 

Direct Use State 1

Region 4 

Balance of Region

•••

•••

•••

••• •••

•••

•••

> 1 Geo

Region 1 

Direct Use State 1

Region 1 

Balance of Region

Region 4 

Direct Use State 1

Region 4 

Balance of Region

Obtain

Allocations

Compute 

Inclusion 

Probabilities

Select 

Stratified 

Sequential 

Samples

Compute 

JOINT 

inclusion 

probabilities

Obtain 

adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability

Unit size is NOT 

accounted for in 

stratification

Number of 

companies can 

vary greatly by 

stratum 
AIES Allocation Procedure: Step 1

Proportional Allocation to Broad Stratum (NAICS3)

Two Industries

Stratum

Number of Companies

Total MOS for Stratum

N = 21,000

n = 1,000

f = 1,000/21,000 ≈ 0.05

NAAA = 1,000

nAAA = (1,000) x 0.05 ≈ 48

NAAB = 20,000

nAAB = (20,000) x 0.05 ≈ 952
AIES Allocation Procedure: Step 2

Power Allocation Within Broad Stratum (NAICS3)

Number of Companies

Total MMMMMM for Stratum

2+ MD MO MT OH

AAA Companies (Nh) 21 245 244 245 245

Allocation (nh) 6 10 10 11 10

Sampling fraction (fh) 0.29 0.04 0.04 0.04 0.04

AAB Companies (Nh) 23 3,330 11,654 1,665 3,328

Allocation (nh) 23 202 381 146 202

Sampling fraction (fh) 1.00 0.06 0.03 0.09 0.06

2+ MD MO MT OH

AAA Companies (Nh) 21 245 244 245 245

Allocation (nh) 6 10 10 11 10

Sampling fraction (fh) 0.29 0.04 0.04 0.04 0.04

AAB Companies (Nh) 23 3,330 11,654 1,665 3,328

Allocation (nh) 23 202 381 146 202

Sampling fraction (fh) 1.00 0.06 0.03 0.09 0.06
AIES Allocation Procedure: Step 3

Revise allocations if necessary

Increase allocation to sector 

sampling fraction (0.05) .

Sampling fractions equalized 

2+ MD MO MT OH

AAA Companies (Nh) 21 245 244 245 245

Allocation (nh) 6 10 10 11 10

Sampling fraction (fh) 0.29 0.04 0.04 0.04 0.04

AAB Companies (Nh) 23 3,330 11,654 1,665 3,328

Allocation (nh) 23 202 381 146 202

Sampling fraction (fh) 1.00 0.06 0.03 0.09 0.06

2+ MD MO MT OH

AAA Companies (Nh) 21 245 244 245 245

Allocation (nh) 6 10 10 11 10

Sampling fraction (fh) 0.29 0.04 0.04 0.04 0.04

AAB Companies (Nh) 23 3,330 11,654 1,665 3,328

Allocation (nh) 23 145 583 103 146

Sampling fraction (fh) 1.00 0.04 0.05 0.06 0.04 Reduce other noncertainty 

allocations assigned to industry 

AAB.
• For each company, need to account for

• Contribution to National estimates

• Contribution to Geographic estimates

• Not all units are equally important

• Small unit at the national level could be “large” at the subnational level

• “Medium sized” company could operate in several states

Obtain

Allocations

Compute 

Inclusion 

Probabilities

Select 

Stratified 

Sequential 

Samples

Compute 

JOINT 

inclusion 

probabilities

Obtain 

adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability
Create Sampling Units from Frame

Company EstablishmentIndustry State MOS

1 1 AAAAAA MO 56

2 AAAAAA MO 9

3 AAAAAA TN 39

4 AAAAAB MO 33

5 AAAAAB MO 20

6 AAAAAB TN 24

2 1 AAAAAA MO 37

2 AAAAAA TN 27

3 1 AAAAAA MO 54

4 1 AAAAAB MO 100

Company Sampling Stratum MOSc

1 > 1 State 181

2 > 1 State 64

3 AAA_MO 54

4 AAA_MO 100

Sampling Units

F

R

A

M

E
Company

Industry 

AAAAAA

Industry 

AAAAAB

Probability of 

Selection in 

AAAAAA

Probability of 

Selection in 

AAAAAB

Probability of 

Selection in 

AAAAAA or 

AAAAAB

National

Company EstablishmentIndustry State MOSic

1 1 AAAAAA MO 56

2 AAAAAA MO 9

3 AAAAAA TN 39

4 AAAAAB MO 33

5 AAAAAB MO 20

6 AAAAAB TN 24

2 1 AAAAAA MO 37

2 AAAAAA TN 27

3 1 AAAAAA MO 54

4 1 AAAAAB MO 100

Unit Company MOS

1_AAAAAA 1 104

1_AAAAAB 1 77

2_AAAAAA 2 64

3_AAAAAA 3 54

4_AAAAAB 4 100

F

R

A

M

E

National Industry Pseudo-Units

“Sampling 

Stratum”

Company Pseudo-Unit MOS π

AAAAAA 1 1_AAAAAA 104 0.4685

AAAAAA 2 2_AAAAAA 64 0.2883

AAAAAA 3 3_AAAAAA 54 0.2432

AAAAAB 1 1_AAAAAB 77 0.4350

AAAAAB 4 4_AAAAAB 100 0.5650

Company π

1 1 – ((1-0.4685)(1-0.4350)) = 0.6997

2 0.2883

3 0.2432

4 0.5650

Company National Industry π

Probability that 

Company 1 is NOT 

sampled in AAAAAA

Probability that 

Company 1 is NOT 

sampled in AAAAAB
Company

Industry 

AAAAAA

Industry 

AAAAAB

Probability of 

Selection in 

AAAAAA

Probability of 

Selection in 

AAAAAB

Probability of 

Selection in 

AAAAAA or 

AAAAAB

Company

Industry 

AAA, 

State 1

Industry 

AAA, 

State 2

Probability of 

Selection in 

AAA, State 1

Probability of 

Selection in 

AAA, State 2

Probability of 

Selection in 

AAA, 

State 1 or 2

National

Geographic

Select MAXIMUM

Company 

Probability 

of Selection

Company 

Probability 

of Inclusion

Company 

Probability 

of Inclusion

Within stratum, rake all company 

selection probabilities to allocation

Initial Final

Perform “winsorization” procedure
Obtain

Allocations

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Inclusion 

Probabilities

Select 

Stratified 

Sequential 

Samples

Compute 

JOINT 

inclusion 

probabilities

Obtain 

adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability

Chromy, J. R. (1979). Sequential Sample 

Selection Methods. In Proceedings of the Survey 

Research Methods Section, pp. 401–406. 

Washington, DC: American Statistical 

Association. 

Sampling Conditions

1. Fixed sample size 

2. Unequal probability sampling

3. Stratified sample

Want

• Sampled companies from each NAICS4, NAICS5, & NAICS6 within NAICS3

• Sampled companies from each state (for “balance of region”)

• Variety of company sizes

Use list sequential sampling procedure
Obtain

Allocations

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Inclusion 

Probabilities

Select 

Stratified 

Sequential 

Samples

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JOINT 

inclusion 

probabilities

Obtain 

adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability

Chauvet, G. (2021). A Note on Chromy’s Sampling Procedure, Journal of Survey Statistics 

and Methodology, 9, pp. 1050–1061, https://doi.org/10.1093/jssam/smaa025.

vv� YY�kk = �h=1

HH 1

2�

ii=1

nnh

ππhiiππhll − ππh,ii

ππh,ii

yyhii

kk

ππhii

− yyhll

kk

ππhll

2

KNOWN inclusion probability for company i in stratum h

Joint inclusion probability of companies i and l in stratum h

• = 0 if companies are in different strata

• Dependent on full sample design (LOW entropy design)
Obtain

Allocations

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Inclusion 

Probabilities

Select 

Stratified 

Sequential 

Samples

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JOINT 

inclusion 

probabilities

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adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability

Stratum Company Estab. Industry State MOS

AAA_2+ 1 1 AAAAAA MO 56

AAA_2+ 1 2 AAAAAA MO 9

AAA_2+ 1 3 AAAAAA TN 39

AAA_2+ 1 4 AAAAAB MO 33

AAA_2+ 1 5 AAAAAB MO 20

AAA_2+ 1 6 AAAAAB TN 24

AAA_2+ 2 1 AAAAAA MO 37

AAA_2+ 2 2 AAAAAA TN 27

AAA_2+ 3 1 AAAAAA MO 38

AAA_2+ 3 2 AAAAAA MO 22

AAA_2+ 3 3 AAAAAA MO 96

AAA_2+ 3 4 AAAAAA TN 43

AAA_2+ 4 1 AAAAAB MO 4

AAA_2+ 4 2 AAAAAB TN 82

AAA_2+ 4 3 AAAAAA TN 75

AAA_MO 5 1 AAAAAA MO 54

AAA_MO 6 1 AAAAAB MO 100

AAA_MO 7 1 AAAAAB MO 22

Frame

NAAA_2+ = 4

nAAA_2+ = 2

NAAA_MO = 3

nAAA_MO = 1

Stratum Company Estab. Industry State MOS PrInc

AAA_2+ 1 1 AAAAAA MO 56

0.62

AAA_2+ 1 2 AAAAAA MO 9

AAA_2+ 1 3 AAAAAA TN 39

AAA_2+ 1 4 AAAAAB MO 33

AAA_2+ 1 5 AAAAAB MO 20

AAA_2+ 1 6 AAAAAB TN 24

AAA_2+ 2 1 AAAAAA MO 37 0.19 AAA_2+ 2 2 AAAAAA TN 27

AAA_2+ 3 1 AAAAAA MO 38

0.59 AAA_2+ 3 2 AAAAAA MO 22

AAA_2+ 3 3 AAAAAA MO 96

AAA_2+ 3 4 AAAAAA TN 43

AAA_2+ 4 1 AAAAAB MO 4

AAA_2+ 4 2 AAAAAB TN 82 0.60

AAA_2+ 4 3 AAAAAA TN 75

AAA_MO 5 1 AAAAAA MO 54 0.31

AAA_MO 6 1 AAAAAB MO 100 0.57

AAA_MO 7 1 AAAAAB MO 22 0.13

Industry

(National)

Frame 

MOS

Contributing 

Companies

Sampled 

Companies

AAAAAA 496 1, 2, 3, 4, 5 1, 3

AAAAAB 285 1, 4, 6, 7 1, 6

Stratum Company Estab. Industry State MOS PrInc

AAA_2+ 1 1 AAAAAA MO 56

0.62

AAA_2+ 1 2 AAAAAA MO 9

AAA_2+ 1 3 AAAAAA TN 39

AAA_2+ 1 4 AAAAAB MO 33

AAA_2+ 1 5 AAAAAB MO 20

AAA_2+ 1 6 AAAAAB TN 24

AAA_2+ 2 1 AAAAAA MO 37 0.19 AAA_2+ 2 2 AAAAAA TN 27

AAA_2+ 3 1 AAAAAA MO 38

0.59 AAA_2+ 3 2 AAAAAA MO 22

AAA_2+ 3 3 AAAAAA MO 96

AAA_2+ 3 4 AAAAAA TN 43

AAA_2+ 4 1 AAAAAB MO 4

AAA_2+ 4 2 AAAAAB TN 82 0.60

AAA_2+ 4 3 AAAAAA TN 75

AAA_MO 5 1 AAAAAA MO 54 0.31

AAA_MO 6 1 AAAAAB MO 100 0.57

AAA_MO 7 1 AAAAAB MO 22 0.13

Industry

(National)

Frame 

MOS

Contributing 

Companies

AAAAAA 496 1, 2, 3, 4, 5

AAAAAB 285 1, 4, 6, 7
Obtain

Allocations

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Inclusion 

Probabilities

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Stratified 

Sequential 

Samples

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JOINT 

inclusion 

probabilities

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adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability

National Industry Sampling Units (Domain Estimates)

1 1_AAAAAA 104 0.62 1.6129

1 1_AAAAAB 77 0.62 1.6129

2 2_AAAAAA 64 0.19 0

3 3_AAAAAA 199 0.59 1.6949

4 4_AAAAAB 86 0.60 0

4 4_AAAAAA 75 0.60 0

5 5_AAAAAA 54 0.31 0

6 6_AAAAAB 100 0.57 1.7544

7 7_AAAAAB 22 0.13 0

Industry

(National)

Frame 

MOS

Estimated 

MOS

AAAAAA 496 505

AAAAAB 285 300

Industry

(National)

Frame 

MOS

Estimated 

MOS

Ratio

AAAAAA 496 505 0.98

AAAAAB 285 300 0.95

1 1_AAAAAA 104 0.62 1.6129 1.5841

1 1_AAAAAB 77 0.62 1.6129 1.5841

2 2_AAAAAA 64 0.19 0 0

3 3_AAAAAA 199 0.59 1.6949 1.6646

4 4_AAAAAB 86 0.60 0 0

4 4_AAAAAA 75 0.60 0 0

5 5_AAAAAA 54 0.31 0 0

6 6_AAAAAB 100 0.57 1.7544 1.7230

7 7_AAAAAB 22 0.13 0 0
Obtain

Allocations

Compute 

Inclusion 

Probabilities

Select 

Stratified 

Sequential 

Samples

Compute 

JOINT 

inclusion 

probabilities

Obtain 

adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability

Ratio estimates from sampled units + totals from certainty units Different c.v. requirements for national and geographic estimates
Results: July 2022 AIES End-to-End Test

National Industry Tabulations Geographic Industry Tabulations

Source: AIES test sample frame created in May 2022 from U.S. Census Business Register 
Obtain

Allocations

Compute 

Inclusion 

Probabilities

Select 

Stratified 

Sequential 

Samples

Compute 

JOINT 

inclusion 

probabilities

Obtain 

adjusted 

sampling 

weights

Compute 

Estimates & 

Variance 

Estimates 

Assess 

Reliability

Stratification

Overview of AIES Sample Design Process

Sector Processing

If all industries in a sector do 

not meet c.v. constraints

Revise allocations 

Complexity 

Certainty 

Companies

Noncertainty 

Companies

Sector 

11

Sector 

21

•••

Sector 

72

Sector 

81

Sampling 

Frame
Questions, suggestions, 

comments?

katherine.j.thompson@census.gov