World Data Lab

North America

What we hold for United States.

World Data Lab models consumer spending for United States, every year from 2000 to 2050, and names the 342 cities and 49 regions it holds on this page. The figures are available under licence, so contact us for the ones you need.

The 342 cities we model.

Each one is modelled in its own right rather than as a share of the country, so a shortlist can be drawn at city level before a market is entered.

  • Abilene
  • Akron
  • Alafaya
  • Albany
  • Albuquerque
  • Allen
  • Allentown
  • Amarillo
  • Anchorage
  • Ann Arbor
  • Antioch
  • Appleton
  • Arlington
  • Asbury Park
  • Ashburn
  • Atascocita
  • Atlanta
  • Auburn
  • Aurora
  • Austin
  • Bakersfield
  • Baltimore
  • Baton Rouge
  • Bayonet Point
  • Beachwood
  • Beechwood
  • Bellingham
  • Bensalem Township
  • Bethlehem
  • Billings
  • Birmingham
  • Bloomington, Illinois
  • Bloomington, Indiana
  • Boise
  • Bolingbrook
  • Boston
  • Boulder
  • Bountiful
  • Bradenton
  • Brandon
  • Brentwood
  • Bridgeport
  • Brockton
  • Brownsville
  • Buena Vista
  • Buffalo
  • Camarillo
  • Canton
  • Cape Coral
  • Carmel Commons
  • Cary
  • Casas Adobes
  • Cedar Rapids
  • Chalco
  • Champaign
  • Charlotte
  • Chester
  • Chicago
  • Chicago Heights
  • Chico
  • Cincinnati
  • Cinco Ranch
  • Cleveland
  • College Station
  • Colorado Springs
  • Columbia, Maryland
  • Columbia, South Carolina
  • Columbus
  • Concord
  • Corpus Christi
  • Courthouse Green
  • Cuyahoga Falls
  • Dale City
  • Dallas
  • Davenport
  • Davis
  • Dayton
  • Daytona Beach
  • Denton
  • Denver
  • Des Moines
  • Detroit
  • Drexel Heights
  • Duncanville
  • Dunwoody
  • Easton
  • Edgecliff Village
  • Edinburg
  • Edmond
  • El Paso
  • Elgin
  • Encinitas
  • Encore Townhomes
  • Erie
  • Escondido
  • Eugene
  • Evansville
  • Ewa Beach
  • Fair Oaks
  • Fairfield
  • Fairland
  • Fall River
  • Fargo
  • Florence
  • Fort Collins
  • Fort Pierce
  • Fort Walton Beach
  • Fort Wayne
  • Fort Worth
  • Fresno
  • Glen Burnie
  • Grand Junction
  • Grand Rapids
  • Greatwood
  • Greeley
  • Green Bay
  • Greensboro
  • Hamilton
  • Handley
  • Hanford
  • Harrisburg
  • Hartford
  • Hemet
  • Homestead
  • Honolulu
  • Hopkins Mill
  • Houston
  • Huntington Station
  • Huntsville
  • Indianapolis
  • Indio
  • Iowa City
  • Irving
  • Jacinto City
  • Jacksonville
  • Jacksonville Beach
  • Joliet
  • Jupiter
  • Kahului
  • Kalamazoo
  • Kansas City
  • Kennewick
  • Kenosha
  • Killeen
  • Lafayette, Indiana
  • Lafayette, Louisiana
  • Lake in the Hills
  • Lake Ronkonkoma
  • Lakeland
  • Lakeside
  • Lakewood Township
  • Lancaster
  • Lansing
  • Laredo
  • Las Cruces
  • Las Vegas
  • Laurel
  • Lawrence
  • Lawrence, Indiana
  • Lawrence, Kansas
  • Lawrenceville
  • Layton
  • Leander
  • Leesburg
  • Levittown
  • Lewisville
  • Lexington
  • Lincoln
  • Little Elm
  • Little Rock
  • Livermore
  • Lodi
  • Longmont
  • Los Angeles
  • Louisville
  • Loveland
  • Lowell
  • Lubbock
  • Lynn
  • Madera
  • Madison
  • Manassas Park
  • Manchester
  • Manteca
  • McAllen
  • Medford
  • Memphis
  • Merced
  • Mesa
  • Miami
  • Midland
  • Mililani
  • Milwaukee
  • Mineral Palace
  • Minneapolis
  • Mission Viejo
  • Mobile
  • Modesto
  • Montgomery
  • Montoya
  • Moreno Valley
  • Nampa
  • Napa
  • Nashville
  • Natoma Station
  • New Bedford
  • New Britain
  • New Castle
  • New Haven
  • New Hope
  • New Orleans
  • New York City
  • Newport News
  • Norcross
  • Norfolk
  • Norman
  • Norristown
  • North College Hill
  • North Richland Hills
  • Norwalk
  • Oceanside
  • Odessa
  • Ogden
  • Oklahoma City
  • Olathe
  • Omaha
  • Orlando
  • Oxnard
  • Palm Bay
  • Palm Coast
  • Palm Desert
  • Palm Springs
  • Palmdale
  • Panama City
  • Paradise Hills
  • Peabody
  • Petaluma
  • Philadelphia
  • Phoenix
  • Pittsburgh
  • Pittsville
  • Pleasanton
  • Point Pleasant
  • Port Saint Lucie
  • Porterville
  • Portland, Maine
  • Portland, Oregon
  • Poway
  • Providence, Nevada
  • Providence, Rhode Island
  • Provo
  • Racine
  • Raleigh
  • Rancho las Perris
  • Reading
  • Reno
  • Richmond
  • Riverside
  • Riverwood
  • Rochester, Minnesota
  • Rochester, New York
  • Rockford
  • Rocklin
  • Sacramento
  • Saint Cloud
  • Saint Petersburg
  • Salem
  • Salinas
  • Salt Lake City
  • San Antonio
  • San Diego
  • San Francisco
  • San Rafael
  • Santa Barbara
  • Santa Cruz
  • Santa Maria
  • Santa Rosa
  • Sarasota
  • Savannah
  • Schenectady
  • Scranton
  • Seattle
  • Selden
  • Simi Valley
  • Sioux Falls
  • South Bend
  • South Valley
  • Spanish Fork
  • Spokane
  • Spring Hill
  • Spring Valley
  • Springfield, Massachusetts
  • Springfield, Missouri
  • St. Louis
  • Stamford
  • Stockton
  • Stonebridge
  • Sugarland Run
  • Syracuse
  • Tacoma
  • Tallahassee
  • Tampa
  • Temecula
  • The Woodlands
  • Thousand Oaks
  • Toledo
  • Tracy
  • Trenton
  • Troy
  • Tucson
  • Tulsa
  • Turlock
  • Urbancrest
  • Vacaville
  • Vallejo
  • Valley Hi
  • Venice
  • Ventura
  • Visalia
  • Waco
  • Washington
  • Waterbury
  • Watsonville
  • Waukegan
  • Webster
  • Wenatchee
  • Westhaven Trails
  • Wetmore
  • Wheaton
  • White Plains
  • White Settlement
  • Wichita
  • Wilkes-Barre
  • Wilmington, Delaware
  • Wilmington, North Carolina
  • Woodland
  • Worcester
  • Yakima
  • York
  • Yuba City
  • Yuma
  • ÓFallon

The 49 regions we model.

The country's first administrative level, so a plan can be cut the way the market is actually managed rather than the way the map is drawn.

  • Alabama
  • Alaska
  • Arizona
  • Arkansas
  • California
  • Colorado
  • Connecticut
  • Delaware
  • District of Columbia
  • Florida
  • Georgia
  • Hawaii
  • Idaho
  • Illinois
  • Indiana
  • Iowa
  • Kansas
  • Kentucky
  • Louisiana
  • Maine
  • Maryland
  • Massachusetts
  • Michigan
  • Minnesota
  • Mississippi
  • Missouri
  • Montana
  • Nebraska
  • Nevada
  • New Hampshire
  • New Jersey
  • New Mexico
  • New York
  • North Carolina
  • North Dakota
  • Ohio
  • Oklahoma
  • Oregon
  • Pennsylvania
  • Rhode Island
  • South Carolina
  • South Dakota
  • Tennessee
  • Texas
  • Utah
  • Virginia
  • Washington
  • Wisconsin
  • Wyoming

The 376 local areas we model.

The country's second administrative level, held for United States so plans can run below the region.

  • Ada
  • Adams
  • Alameda
  • Albany
  • Alexandria
  • Allegan
  • Allegheny
  • Allen
  • Anchorage
  • Anne Arundel
  • Anoka
  • Arapahoe
  • Arlington
  • Atlantic
  • Baltimore
  • Bartow
  • Bay
  • Beaver
  • Bell
  • Benton
  • Bergen
  • Berkeley
  • Berks
  • Bernalillo
  • Bexar
  • Black Hawk
  • Bonneville
  • Boone
  • Bossier
  • Boulder
  • Brazoria
  • Brazos
  • Brevard
  • Bristol
  • Bronx
  • Broome
  • Broomfield
  • Broward
  • Brown
  • Bucks
  • Burleigh
  • Burlington
  • Butler
  • Butte
  • Caddo
  • Calcasieu
  • Calumet
  • Camden
  • Cameron
  • Campbell
  • Canyon
  • Cape May
  • Cass
  • Cecil
  • Centre
  • Chambers
  • Champaign
  • Charleston
  • Charlotte
  • Chatham
  • Cherokee
  • Chesapeake
  • Chester
  • Chesterfield
  • Clackamas
  • Clark
  • Clay
  • Clayton
  • Cleveland
  • Cobb
  • Collier
  • Collin
  • Comanche
  • Contra Costa
  • Cook
  • Coryell
  • Creek
  • Cumberland
  • Cuyahoga
  • Dakota
  • Dallas
  • Dane
  • Dauphin
  • Davidson
  • Daviess
  • Davis
  • DeKalb
  • Delaware
  • Denton
  • Denver
  • Desoto
  • District of Columbia
  • Dona Ana
  • Douglas
  • Dubuque
  • Dupage
  • Durham
  • Duval
  • East Baton Rouge
  • Eaton
  • Ector
  • El Paso
  • Elkhart
  • Erie
  • Escambia
  • Essex
  • Fairfax
  • Fairfax City
  • Fairfield
  • Falls Church
  • Fayette
  • Flagler
  • Floyd
  • Forsyth
  • Fort Bend
  • Franklin
  • Frederick
  • Fresno
  • Fulton
  • Galveston
  • Genesee
  • Gloucester
  • Grant
  • Greene
  • Gregg
  • Guilford
  • Gwinnett
  • Hamilton
  • Hampden
  • Hampshire
  • Hampton
  • Hancock
  • Harris
  • Harrison
  • Hartford
  • Henderson
  • Hendricks
  • Hennepin
  • Henrico
  • Hernando
  • Hidalgo
  • Hillsborough
  • Honolulu
  • Howard
  • Hudson
  • Imperial
  • Ingham
  • Jackson
  • Jefferson
  • Jessamine
  • Jo Daviess
  • Johnson
  • Kalamazoo
  • Kane
  • Kankakee
  • Kendall
  • Kenosha
  • Kent
  • Kenton
  • Kern
  • King
  • Kings
  • Knox
  • La Crosse
  • Lackawanna
  • Lafayette
  • Lake
  • Lancaster
  • Lane
  • Laramie
  • Larimer
  • Lee
  • Lehigh
  • Leon
  • Lexington
  • Licking
  • Linn
  • Litchfield
  • Lorain
  • Los Angeles
  • Loudoun
  • Lubbock
  • Lucas
  • Luzerne
  • Macomb
  • Madera
  • Madison
  • Mahoning
  • Manassas
  • Manassas Park
  • Manatee
  • Maricopa
  • Marin
  • Marion
  • Martin
  • McHenry
  • McLean
  • McLennan
  • Mecklenburg
  • Medina
  • Merced
  • Mercer
  • Mesa
  • Miami-Dade
  • Middlesex
  • Midland
  • Milwaukee
  • Minnehaha
  • Mobile
  • Mohave
  • Monmouth
  • Monroe
  • Monterey
  • Montgomery
  • Morris
  • Multnomah
  • Muscogee
  • Napa
  • Nassau
  • New Castle
  • New Haven
  • New York
  • Newport
  • Newport News
  • Niagara
  • Norfolk
  • Northampton
  • Nueces
  • Oakland
  • Ocean
  • Okaloosa
  • Oklahoma
  • Olmsted
  • Oneida
  • Onondaga
  • Orange
  • Orleans
  • Osage
  • Osceola
  • Ottawa
  • Outagamie
  • Palm Beach
  • Pasco
  • Passaic
  • Peoria
  • Philadelphia
  • Pierce
  • Pima
  • Pinal
  • Pinellas
  • Pitt
  • Placer
  • Plaquemines
  • Platte
  • Plymouth
  • Polk
  • Portage
  • Porter
  • Portsmouth
  • Pottawattamie
  • Potter
  • Prince George's
  • Prince William
  • Providence
  • Pueblo
  • Pulaski
  • Queens
  • Racine
  • Ramsey
  • Randall
  • Rensselaer
  • Richland
  • Richmond
  • Riverside
  • Roanoke
  • Roanoke City
  • Rock
  • Rock Island
  • Rockingham
  • Rockland
  • Rockwall
  • Russell
  • Rutherford
  • Sacramento
  • Saginaw
  • Saint Bernard
  • Saint Charles
  • Saint Clair
  • Saint Johns
  • Saint Joseph
  • Saint Louis
  • Saint Lucie
  • Salem
  • Salt Lake
  • San Bernardino
  • San Diego
  • San Francisco
  • San Joaquin
  • San Mateo
  • Sandoval
  • Sangamon
  • Santa Barbara
  • Santa Clara
  • Santa Cruz
  • Santa Rosa
  • Sarasota
  • Saratoga
  • Sarpy
  • Schenectady
  • Scott
  • Sebastian
  • Sedgwick
  • Seminole
  • Shawnee
  • Shelby
  • Sherburne
  • Snohomish
  • Solano
  • Somerset
  • Sonoma
  • Spokane
  • Stanislaus
  • Stark
  • Stearns
  • Story
  • Suffolk
  • Summit
  • Sutter
  • Tarrant
  • Taylor
  • Tazewell
  • Terrebonne
  • Thurston
  • Tippecanoe
  • Tom Green
  • Travis
  • Trumbull
  • Tulare
  • Tulsa
  • Tuscaloosa
  • Union
  • Utah
  • Vanderburgh
  • Ventura
  • Virginia Beach
  • Volusia
  • Wagoner
  • Wake
  • Waller
  • Warren
  • Warrick
  • Washington
  • Washoe
  • Washtenaw
  • Waukesha
  • Wayne
  • Webb
  • Weber
  • Weld
  • West Baton Rouge
  • Westchester
  • Whatcom
  • Wichita
  • Will
  • Williamson
  • Winnebago
  • Wood
  • Woodbury
  • Worcester
  • Wyandotte
  • Yakima
  • Yellowstone
  • Yolo
  • York
  • Yuba
  • Yuma

Everything we hold for United States.

Every cut below is held for the country and, where places are listed above, for each of those places. The same cuts everywhere is what lets one market be compared with another rather than merely described on its own.

  • Cities

    342 named on this page

    Each modelled in its own right rather than as a share of the country.

  • Regions

    49 of them

    The country's first administrative level, so a plan can be cut the way the market is actually managed.

  • Local areas

    376 of them

    The second administrative level, for plans that run below the first.

  • Consumer spending

    every year from 2000 to 2050

    What the people who live there spend, in total and per person.

  • Population and the consumer class

    the whole population

    How many live there and how many have crossed into the consumer class.

  • Spending groups

    five levels of daily spending

    The count of people at each level, so a price point can be sized rather than guessed.

  • Spending categories

    more than 200

    From food and housing through to beauty and financial services.

  • Age and generation

    by band and by cohort

    The same spending split by how old the buyer is.

  • Households

    homes, not only people

    How many homes there are, and what a home spends rather than a person.

This page states coverage, not figures. The numbers themselves are delivered under licence, as a data feed or inside the platform. Tell us the market and the category and we will show you what the model holds.

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