Attachment T - PSUs for the CE Surveys

Attachment T - PSUs for the Consumer Expenditure Survey’s 2010 Census-Based Sample Design - Dec 18 2012.docx

Consumer Expenditure Surveys: Quarterly Interview and Diary

Attachment T - PSUs for the CE Surveys

OMB: 1220-0050

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U .S. Department of Labor Bureau of Labor Statistics

2 Massachusetts Ave. N.E.

Washington, D.C. 20212





December 18, 2012



MEMORANDUM FOR:

RICHARD SCHWARTZ, Chief

Consumer Expenditure Surveys Branch

Demographic Surveys Division

U.S. Bureau of the Census


FROM:

JAY RYAN, Chief

Division of Consumer Expenditure Survey

Office of Prices and Living Conditions

U.S. Bureau of Labor Statistics


SUBJECT:

PSUs for the Consumer Expenditure Survey’s 2010 Census-Based Sample Design




I. Introduction


Every ten years the Consumer Expenditure (CE) survey updates its sample of primary sampling units (PSUs) based on the latest decennial census. The purpose is to make sure CE’s sample accurately reflects the latest geographic shifts in the American population. This memo provides a list of the 91 PSUs that were recently selected by the Bureau of Labor Statistics (BLS) for the CE survey based on the 2010 census. They are scheduled to be used over the ten-year period 2015-2024.


The list of PSUs is at the end of the memo. It shows the 91 PSUs that were selected, the counties that constitute them, and their populations. The United States has 3,143 counties (or county equivalents) which the BLS and the Bureau of the Census (BOC) partitioned into 1,470 PSUs, and from which the BLS selected 91 of them for CE’s sample.



II. Overview of CE’s Geographic Sample Design


CE’s overall geographic sample design remains unchanged from the 2000 census-based sample design. The self-representing PSUs are still the largest metropolitan areas in the country, and the non-self-representing PSUs are still a random sample of smaller geographic areas around the country – metropolitan, micropolitan, and non-CBSA.


However, three noteworthy details did change: the geographic areas used to stratify the PSUs; the number of population size classes used to stratify the PSUs; and the use of a single Core Based Statistical Area (CBSA) to define each self-representing PSUs.


First, the geographic areas used to stratify PSUs were changed from the four Census regions of the country to the nine Census divisions. This allows the Consumer Price Index (CPI) program to publish more geographically detailed information about inflation rates. Since the nine divisions partition the four regions of the country (they divide them neatly without any overlapping or missing pieces) it will be easy to aggregate CPI’s division-level inflation rate estimates up to region-level estimates to allow the CPI’s inflation rates to be published at both levels of geographic detail. These are the four Census regions and the nine Census divisions:


1. Northeast

2. Midwest

3. South

4. West

1. New England

3. East North Central

5. South Atlantic

8. Mountain

2. Middle Atlantic

4. West North Central

6. East South Central

9. Pacific



7. West South Central



Second, the number of size classes used to stratify the PSUs was reduced from four to three. The three new size classes are CBSAs with over 2.5 million people (plus Honolulu and Anchorage), CBSAs with under 2.5 million people, and non-CBSA areas:


Old PSU Size Classes

New PSU Size Classes

1. Metropolitan CBSAs over 2.0 million people (“A” PSUs) (1),(2)

1. CBSAs over 2.5 million people (“S” PSUs) (2)

2. Metropolitan CBSAs under 2.0 million people (“X” PSUs) (1)

2. CBSAs under 2.5 million people (“N” PSUs)

3. Micropolitan CBSAs (“Y” PSUs)

3. Non-CBSA areas (“R” PSUs)

4. Non-CBSA areas (“Z” PSUs)


(1) The cutoff was changed from 2.0 million people to 2.7 million people when CE’s sample was cut in 2006.

(2) Plus Honolulu and Anchorage.


The “S” PSUs are self-representing, the “N” PSUs are non-self-representing, and the “R” PSUs are small clusters of non-CBSA (“rural”) counties formed from the counties not assigned to CBSAs.


The third noteworthy change is the use of single CBSAs to define self-representing PSUs. In the 2000 census-based sample design many of the self-representing PSUs were formed by the union of multiple CBSAs in an effort to preserve PSU boundaries that were established in the 1990 census-based sample design. Those PSUs were geographically quite large. The new 2010 census-based sample design replaces those multiple-CBSA PSUs with single-CBSA PSUs, which will make the new self-representing PSUs geographically smaller.


Finally, it is important to note that the PSUs are based on preliminary CBSA definitions created jointly by the BOC and the Office of Management and Budget (OMB). Preliminary CBSA definitions will not be published, and some of them may change when the final definitions come out, but the changes are expected to be minor. The CE survey will use the preliminary CBSA definitions for the whole ten-year period and will not change to the final CBSA definitions even when they become available.



III. PSUs Selected for CE’s Sample


After stratifying the complete universe of 1,470 PSUs into divisions and size classes, the BLS selected 23 “S” PSUs (which are all 21 preliminary CBSAs with over 2.5 million people, plus Honolulu and Anchorage), a stratified random sample of 52 “N” PSUs, and a stratified random sample of 16 “R” PSUs:




PSU Size Class


Region

Division

S

N

R

Total

1. Northeast

1. New England

1

2

1

4


2. Middle Atlantic

2

4

1

7

2. Midwest

3. East North Central

2

8

2

12


4. West North Central

2

4

2

8

3. South

5. South Atlantic

5

12

2

19


6. East South Central

0

6

2

8


7. West South Central

2

8

2

12

4. West

8. Mountain

2

4

3

9


9. Pacific

7

4

1

12


Total

23

52

16

91


Within each division and size class, the “N” and “R” PSUs were stratified according to four variables – latitude, longitude, income, and property value – from which a stratified random sample of PSUs was drawn, one PSU from each stratum. The “N” PSUs were selected using an overlap maximization and controlled selection procedure, while the “R” PSUs were selected with probability proportional to size. This is similar to the procedure used in the 1990 and 2000 census-based sample designs. Although an overlap maximization procedure is used for the “N” PSUs, their unconditional probabilities are equal to the PSU’s population divided by the stratum’s population. For the “R” PSUs their probabilities are the PSU’s population divided by the stratum’s population to which the PSU belongs.1



IV. Honolulu and Anchorage


The four CBSAs in Hawaii (Honolulu, Hilo, Kahului-Wailuku-Lahaina, Kapaa) were grouped into a state stratum, and Honolulu was selected with certainty to represent it. Likewise, the four CBSAs in Alaska (Anchorage, Fairbanks, Juneau, Ketchikan) were grouped into a state stratum, and Anchorage was selected with certainty to represent it. Honolulu and Anchorage are considered to be self-representing PSUs for publication purposes, but non-self-representing PSUs for the purpose of drawing their samples. When drawing their samples their stratum populations should be used as their measure of size.



V. SAS Dataset with PSU Information


In addition to providing the complete list of 91 selected PSUs at the end of the memo, a SAS dataset is also being provided to BOC with this memo. The file is called CECPI_PSULIST_2010DESIGN.sas7bdat. It has 3,143 records, one for every county (or county equivalent) in the United States, and it contains the following variables:


Variable name

Format

Description

PSU_Code

Character $7

PSU code (N12B.01, N12B.02, etc.)

PSU_Name

Character $46

PSU Name (Washington-Arlington-Alexandria, DC-VA-MD-WV)

PSU_Type

Character $5

CBSA type (metropolitan, micropolitan, non-CBSA or “rural”)

Selected

Character $1

Was the PSU selected for sample? (Y/N)

Preliminary_CBSA_Code

Character $5

Preliminary CBSA code

State_FIPS

Character $2

State FIPS code (01,02,…,56)

County_FIPS

Character $3

County FIPS code (001,002,003,…)

State_Name

Character $2

State Name (DC, MD, VA, WV, etc.)

County_Name

Character $33

County name (Montgomery, Howard, Fairfax, Loudon, etc.)

County_Population

Numeric

Number of people in the county

PSU_Population

Numeric

Number of people in the PSU

Stratum_Population

Numeric

Number of people in the stratum


Most of the variables on the dataset are self-explanatory. However, the variable “PSU_Code” needs some explanation. The PSU codes have seven characters, with the first four characters identifying the stratum, followed by a decimal point, and then two more characters identifying the specific PSU within the stratum.

1st character: S, N, R (self-representing, non-self-representing, “rural”)

2nd character: Region (1,2,3,4)

3rd character: Division (1,2,…,9)

4th character: Stratum (A,B,C,…)

5th character: Decimal point to separate the stratum and PSU

6th and 7th characters: PSU (01,02,03,…)

Also “PSU_Name” is the preliminary CBSA name given to us by BOC earlier this year; “PSU_Type” indicates whether the PSU is a metropolitan CBSA, a micropolitan CBSA, or a non-CBSA area; “Preliminary_CBSA_Code” is the preliminary CBSA code number given to us by BOC earlier this year; and “County_Population” is the county’s resident population from the 2010 census.


Here is an example for an “N” stratum in the South Atlantic division. The stratum has 9 counties that were clustered together into 3 PSUs. Raleigh, NC was randomly selected to represent the stratum as denoted by “Y” in the column labeled “Selected.” That particular PSU has three counties and its population is 1,130,490 (= 60,619 + 168,878 + 900,993). Since the total population of all 9 counties in the stratum is 2,549,176, the PSU’s unconditional probability of selection is 0.4435 (= 1,130,490 / 2,549,176).


PSU Code

PSU_Name

PSU Type

Selected

State FIPS

County FIPS

State Name

County Name

County Population

PSU Population

Stratum Population

N35I.01

Jacksonville, FL

metro

N

12

003

FL

Baker

27,115

1,345,596

2,549,176

N35I.01

Jacksonville, FL

metro

N

12

019

FL

Clay

190,865

1,345,596

2,549,176

N35I.01

Jacksonville, FL

metro

N

12

031

FL

Duval

864,263

1,345,596

2,549,176

N35I.01

Jacksonville, FL

metro

N

12

089

FL

Nassau

73,314

1,345,596

2,549,176

N35I.01

Jacksonville, FL

metro

N

12

109

FL

St. Johns

190,039

1,345,596

2,549,176

N35I.02

Key West, FL

micro

N

12

087

FL

Monroe

73,090

73,090

2,549,176

N35I.03

Raleigh, NC

metro

Y

37

069

NC

Franklin

60,619

1,130,490

2,549,176

N35I.03

Raleigh, NC

metro

Y

37

101

NC

Johnston

168,878

1,130,490

2,549,176

N35I.03

Raleigh, NC

metro

Y

37

183

NC

Wake

900,993

1,130,490

2,549,176


Note: The county, PSU, and stratum populations over the whole United States sum to 308,745,538, which is the Census Bureau’s official estimate of the U.S. resident population on April 1, 2010 (the 2010 decennial census).



VI. Other Aspects of CE’s Sample Design


The purpose `of this memo is only to provide PSU definitions for CE’s 2010 census-based sample design. Other aspects of the redesign, such as the sample size and whether there will still be a bounding interview, will be covered in separate memos.





OPLC/SMD/Swanson/12182012/A1204.4


cc:

BLS

Census


Steven Paben (SMD)

Stephen Ash (DSMD)


Bill Johnson (SMD)

Danielle Castelo (DSMD)


Susan King (SMD)

James Farber (DSMD)


John Schilp (SMD)

Howard McGowan (DSD)


David Swanson (SMD)

Carolyn Pickering (DSD)


Rob Cage (DCPPI)



Robert Eddy (OPLC)



John Layng (CPI)



U.S. Consumer Expenditure Survey:

2010 Census-Based Sample Design (91 PSUs)



Division 1 (New England), Northeast Region

PSU

PSU Name

PSU Definition (State and County)

PSU Population

Stratum Population

S11A

Boston-Cambridge-Newton, MA-NH

MA: Essex, Middlesex, Norfolk, Plymouth, Suffolk

NH: Rockingham, Strafford

4,552,402

4,552,402

N11B

Hartford-West Hartford-East Hartford, CT

CT: Hartford, Middlesex, Tolland

1,212,381

5,005,793

N11C

Springfield, MA

MA: Hampden, Hampshire

621,570

4,233,926

R11D

Addison, VT

VT: Addison

36,821

652,744











Division 2 (Middle Atlantic), Northeast Region

PSU

PSU Name

PSU Definition (State and County)

PSU Population

Stratum Population

S12A

New York-Newark-Jersey City, NY-NJ-PA

NJ: Bergen, Essex, Hudson, Hunterdon, Middlesex, Monmouth, Morris, Ocean, Passaic, Somerset, Sussex, Union

NY: Bronx, Dutchess, Kings, Nassau, New York, Orange, Putnam, Queens, Richmond, Rockland, Suffolk, Westchester

PA: Pike

19,567,410

19,567,410

S12B

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD

DE: New Castle

MD: Cecil

NJ: Burlington, Camden, Gloucester, Salem

PA: Bucks, Chester, Delaware, Montgomery, Philadelphia

5,965,343

5,965,343

N12C

Pittsburgh, PA

PA: Allegheny, Armstrong, Beaver, Butler, Fayette, Washington, Westmoreland

2,356,285

4,065,877

N12D

Buffalo-Cheektowaga-Niagara Falls, NY

NY: Erie, Niagara

1,135,509

3,483,174

N12E

Rochester, NY

NY: Livingston, Monroe, Ontario, Orleans, Wayne, Yates

1,079,671

3,925,318

N12F

Reading, PA

PA: Berks

411,442

3,562,332

R12G

Northeast Pennsylvania

PA: Susquehanna, Wayne

96,178

825,870











Division 3 (East North Central), Midwest Region

PSU

PSU Name

PSU Definition (State and County)

PSU Population

Stratum Population

S23A

Chicago-Naperville-Elgin, IL-IN-WI

IL: Cook, De Kalb, Du Page, Grundy, Kane, Kendall, Lake, McHenry, Will

IN: Jasper, Lake, Newton, Porter

WI: Kenosha

9,461,105

9,461,105

S23B

Detroit-Warren-Dearborn, MI

MI: Lapeer, Livingston, Macomb, Oakland, St. Clair, Wayne

4,296,250

4,296,250

N23C

Cincinnati, OH-KY-IN

IN: Dearborn, Ohio, Union

KY: Boone, Bracken, Campbell, Gallatin, Grant, Kenton, Pendleton

OH: Brown, Butler, Clermont, Hamilton, Warren

2,114,580

3,395,853

N23D

Cleveland-Elyria, OH

OH: Cuyahoga, Geauga, Lake, Lorain, Medina

2,077,240

3,257,953

N23E

Columbus, OH

OH: Delaware, Fairfield, Franklin, Hocking, Licking, Madison, Morrow, Perry, Pickaway, Union

1,901,974

3,758,510

N23F

Milwaukee-Waukesha-West Allis, WI

WI: Milwaukee, Ozaukee, Washington, Waukesha

1,555,908

3,256,494

N23G

Dayton, OH

OH: Greene, Miami, Montgomery

799,232

3,924,320

N23H

Flint, MI

MI: Genesee

425,790

3,911,189

N23I

Janesville-Beloit, WI

WI: Rock

160,331

3,745,126

N23J

Frankfort, IN

IN: Clinton

33,224

3,427,365

R23K

Northern Michigan

MI: Cheboygan, Montmorency, Presque Isle

49,293

1,605,685

R23L

Holmes, OH

OH: Holmes

42,366

1,351,458











Division 4 (West North Central), Midwest Region

PSU

PSU Name

PSU Definition (State and County)

PSU Population

Stratum Population

S24A

Minneapolis-St. Paul-Bloomington, MN-WI

MN: Anoka, Carver, Chisago, Dakota, Hennepin, Isanti, Le Sueur, Mille Lacs, Ramsey, Scott, Sherburne, Sibley, Washington, Wright

WI: Pierce, St. Croix

3,348,859

3,348,859

S24B

St. Louis, MO-IL

IL: Bond, Calhoun, Clinton, Jersey, Macoupin, Madison, Monroe, St. Clair

MO: Franklin, Jefferson, Lincoln, St. Charles, St. Louis, St. Louis City, Warren

2,787,701

2,787,701

N24C

Omaha-Council Bluffs, NE-IA

IA: Harrison, Mills, Pottawattamie

NE: Cass, Douglas, Sarpy, Saunders, Washington

865,350

2,974,017

N24D

Wichita, KS

KS: Butler, Harvey, Kingman, Sedgwick, Sumner

630,919

2,842,770

N24E

Lincoln, NE

NE: Lancaster, Seward

302,157

3,288,318

N24F

Wahpeton, ND-MN

MN: Wilkin

ND: Richland

22,897

2,947,903

R24G

Northern Missouri

MO: Daviess, Gentry, Grundy, Harrison, Mercer, Worth

40,345

1,838,073

R24H

Northeast Nebraska

NE: Cedar, Knox

17,553

1,547,801











Division 5 (South Atlantic), South Region

PSU

PSU Name

PSU Definition (State and County)

PSU Population

Stratum Population

S35A

Washington-Arlington-Alexandria, DC-VA-MD-WV

DC: District of Columbia

MD: Calvert, Charles, Frederick, Montgomery, Prince George’s

VA: Alexandria City, Arlington, Clarke, Culpeper, Fairfax, Fairfax City, Falls Church City, Fauquier, Fredericksburg City, Loudoun, Manassas City, Manassas Park City, Prince William, Rappahannock, Spotsylvania, Stafford, Warren

WV: Jefferson

5,636,232

5,636,232

S35B

Miami-Fort Lauderdale-West Palm Beach, FL

FL: Broward, Miami-Dade, Palm Beach

5,564,635

5,564,635

S35C

Atlanta-Sandy Springs-Roswell, GA

GA: Barrow, Bartow, Butts, Carroll, Cherokee, Clayton, Cobb, Coweta, Dawson, DeKalb, Douglas, Fayette, Forsyth, Fulton, Gwinnett, Haralson, Heard, Henry, Jasper, Lamar, Meriwether, Morgan, Newton, Paulding, Pickens, Pike, Rockdale, Spalding, Walton

5,286,728

5,286,728

S35D

Tampa-St. Petersburg-Clearwater, FL

FL: Hernando, Hillsborough, Pasco, Pinellas

2,783,243

2,783,243

S35E

Baltimore-Columbia-Towson, MD

MD: Anne Arundel, Baltimore, Baltimore City, Carroll, Harford, Howard, Queen Anne’s

2,710,489

2,710,489

N35F

Charlotte-Concord-Gastonia, NC-SC

NC: Cabarrus, Gaston, Iredell, Lincoln, Mecklenburg, Rowan, Union

SC: Chester, Lancaster, York

2,217,012

3,035,149

N35G

Orlando-Kissimmee-Sanford, FL

FL: Lake, Orange, Osceola, Seminole

2,134,411

2,642,941

N35H

Richmond, VA

VA: Amelia, Caroline, Charles City, Chesterfield, Colonial Heights City, Dinwiddie, Goochland, Hanover, Henrico, Hopewell City, King William, New Kent, Petersburg City, Powhatan, Prince George, Richmond City, Sussex

1,208,101

3,027,856

N35I

Raleigh, NC

NC: Franklin, Johnston, Wake

1,130,490

2,549,176

N35J

Greenville-Anderson-Mauldin, SC

SC: Anderson, Greenville, Laurens, Pickens

824,112

3,094,518

N35K

Winston-Salem, NC

NC: Davidson, Davie, Forsyth, Stokes, Yadkin

640,595

2,637,083

N35L

Cape Coral-Fort Myers, FL

FL: Lee

618,754

3,091,153

N35M

Ocala, FL

FL: Marion

331,298

2,568,744

N35N

Gainesville, FL

FL: Alachua, Gilchrist

264,275

2,913,140

N35O

Wilmington, NC

NC: New Hanover, Pender

254,884

2,736,321

N35P

Jacksonville, NC

NC: Onslow

177,772

3,100,604

N35Q

Big Stone Gap, VA

VA: Dickenson, Norton City, Wise

61,313

2,563,098

R35R

Southern Virginia

VA: Charlotte, Cumberland, Halifax, Lunenburg, Mecklenburg, Prince Edward

127,888

1,543,021

R35S

Southwest West Virginia

WV: McDowell, Mingo, Wyoming

72,748

1,853,703











Division 6 (East South Central), South Region

PSU

PSU Name

PSU Definition (State and County)

PSU Population

Stratum Population

N36A

Louisville/Jefferson County, KY-IN

IN: Clark, Floyd, Harrison, Scott, Washington

KY: Bullitt, Henry, Jefferson, Oldham, Shelby, Spencer, Trimble

1,235,708

2,529,624

N36B

Birmingham-Hoover, AL

AL: Bibb, Blount, Chilton, Jefferson, Shelby, St. Clair, Walker

1,128,047

2,483,606

N36C

Chattanooga, TN-GA

GA: Catoosa, Dade, Walker

TN: Hamilton, Marion, Sequatchie

528,143

2,620,595

N36D

Huntsville, AL

AL: Limestone, Madison

417,593

2,801,399

N36E

Florence-Muscle Shoals, AL

AL: Colbert, Lauderdale

147,137

2,550,408

N36F

Meridian, MS

MS: Clarke, Kemper, Lauderdale

107,449

2,397,313

R36G

Eastern Kentucky

KY: Floyd, Johnson, Knott, Lawrence, Magoffin, Martin, Pike

186,299

1,567,733

R36H

Western Tennessee

TN: Carroll, Gibson, Henderson

105,974

1,406,973











Division 7 (West South Central), South Region

PSU

PSU Name

PSU Definition (State and County)

PSU Population

Stratum Population

S37A

Dallas-Fort Worth-Arlington, TX

TX: Collin, Dallas, Denton, Ellis, Hood, Hunt, Johnson, Kaufman, Parker, Rockwall, Somervell, Tarrant, Wise

6,426,214

6,426,214

S37B

Houston-The Woodlands-Sugar Land, TX

TX: Austin, Brazoria, Chambers, Fort Bend, Galveston, Harris, Liberty, Montgomery, Waller

5,920,416

5,920,416

N37C

San Antonio-New Braunfels, TX

TX: Atascosa, Bandera, Bexar, Comal, Guadalupe, Kendall, Medina, Wilson

2,142,508

2,436,095

N37D

Oklahoma City, OK

OK: Canadian, Cleveland, Grady, Lincoln, Logan, McClain, Oklahoma

1,252,987

2,812,948

N37E

Baton Rouge, LA

LA: Ascension, East Baton Rouge, East Feliciana, Iberville, Livingston, Pointe Coupee, St. Helena, West Baton Rouge, West Feliciana

802,484

2,543,610

N37F

Lafayette, LA

LA: Acadia, Iberia, Lafayette, St. Martin, Vermilion

466,750

2,444,837

N37G

Brownsville-Harlingen, TX

TX: Cameron

406,220

2,581,037

N37H

Amarillo, TX

TX: Armstrong, Carson, Oldham, Potter, Randall

251,933

2,756,117

N37I

Russellville, AR

AR: Pope, Yell

83,939

2,620,998

N37J

Paris, TX

TX: Lamar

49,793

2,851,943

R37K

Northeast Texas

TX: Camp, Rains, Van Zandt, Wood

117,858

1,315,398

R37L

Northern Arkansas

AR: Cleburne, Conway, Stone, Van Buren

76,932

1,587,948











Division 8 (Mountain), West Region

PSU

PSU Name

PSU Definition (State and County)

PSU Population

Stratum Population

S48A

Phoenix-Mesa-Scottsdale, AZ

AZ: Maricopa, Pinal

4,192,887

4,192,887

S48B

Denver-Aurora-Lakewood, CO

CO: Adams, Arapahoe, Broomfield, Clear Creek, Denver, Douglas, Elbert, Gilpin, Jefferson, Park

2,543,482

2,543,482

N48C

Las Vegas-Henderson-Paradise, NV

NV: Clark

1,951,269

3,227,960

N48D

Provo-Orem, UT

UT: Juab, Utah

526,810

3,724,271

N48E

Yuma, AZ

AZ: Yuma

195,751

3,840,701

N48F

St. George, UT

UT: Washington

138,115

3,206,759

R48G

Ravalli, MT

MT: Ravalli

40,212

481,660

R48H

Lincoln, NM

NM: Lincoln

20,497

399,341

R48I

Gooding, ID

ID: Gooding

15,464

447,390











Division 9 (Pacific), West Region

PSU

PSU Name

PSU Definition (State and County)

PSU Population

Stratum Population

S49A

Los Angeles-Long Beach-Anaheim, CA

CA: Los Angeles, Orange

12,828,837

12,828,837

S49B

San Francisco-Oakland-Hayward, CA

CA: Alameda, Contra Costa, Marin, San Francisco, San Mateo

4,335,391

4,335,391

S49C

Riverside-San Bernardino-Ontario, CA

CA: Riverside, San Bernardino

4,224,851

4,224,851

S49D

Seattle-Tacoma-Bellevue, WA

WA: King, Pierce, Snohomish

3,439,809

3,439,809

S49E

San Diego-Carlsbad, CA

CA: San Diego

3,095,313

3,095,313

S49F

Honolulu, HI

HI: Honolulu

953,207

1,360,301

S49G

Anchorage, AK

AK: Anchorage, Matanuska-Susitna

380,821

523,154

N49H

Portland-Vancouver-Hillsboro, OR-WA

OR: Clackamas, Columbia, Multnomah, Washington, Yamhill

WA: Clark, Skamania

2,226,009

5,208,366

N49I

Santa Rosa, CA

CA: Sonoma

483,878

5,163,670

N49J

Chico, CA

CA: Butte

220,000

4,623,339

N49K

Moses Lake, WA

WA: Grant

89,120

4,363,676

R49L

Tillamook, OR

OR: Tillamook

25,250

714,395


1 The overlap maximization procedure that was used was based on Larry Ernst’s 1986 method: Lawrence R. Ernst, “Maximizing the Overlap Between Surveys when Information is Incomplete,” European Journal of Operations Research, volume 27 (1986), pp. 192-200. For details on how it was applied to CE’s 2010 census-based sample, see: William Johnson, Steve Paben, John Schilp, “The Use of Sample Overlap Methods in the Consumer Price Index Area Redesign,” 2012 Proceedings of the International Conference on Establishment Surveys.


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