CV XE GIS Home Page
Decision-Making Information

  ProximityOne
  information resources & solutions
  (888) DMI-SOLN
  (888) 364-7656








Put data to work more effectively.
Certificate in Data Analytics




Data Analytics Blog
Power of Combining Maps with Data

Support & Technical Assistance
help using these resources



Metro in Regional Context




Situation & Outlook Report

Milwaukee-Waukesha-West Allis, WI Metropolitan Statistical Area
(CBSA 33340)
Geographic-Demographic-Economic Characteristics -- access other areas
See about updates.

This section is no longer being updated. Access the permanent replacement section at http://proximityone.com/cbsa/1/cbsa33340.htm. Please bookmark this new URL.

Access 2018 S&O Reports, featuring county and metro projections to 2030, via the interactive table at http://proximityone.com/metros.htm. The 2018 reports are similar but have been greatly expanded and updated.

Contents of this Report
This document is organized into these sections:
1. Recent Trends & Outlook
2. Overview & Updates
3. Reference & Thematic Pattern Maps
3.1. Lay of the Land
3.2. Neighborhood Patterns of Economic Prosperity
4. Population Characteristics & Trends
4.1. Component City Characteristics
4.2. Component County Characteristics
4.2.1. RDEMS Component County Characteristics
4.3. General Demographic Characteristics
5. Housing Characteristics & Trends
5.1. Total Housing Units
5.2. General Housing Characteristics
5.3. Residential Construction; Housing Units Authorized & Value
5.4. Housing Price Index
6. Economic Characteristics & Trends
6.1. Economic Profile
6.2. Cost of Living Indexes
6.3. Cost of Doing Business Indexes
6.4. Consumer Price Index
6.5. Gross Domestic Product
6.6. Establishments, Employment & Earnings by Type of Business
6.7. Labor Market Characteristics & Trends
7. Education Infrastructure
7.1. Component School District Characteristics
7.2. Component Higher Education Institution Characteristics
8. GeoPolitics
  Terms of Use
  Related Resources
  Using this Document
  Updates
  About Metros & Principal Cities
  Glossary


1. Recent Trends & Outlook
Summary of recent business, demographic, economic trends; year-ahead & 5-year outlook.
- the Recent Trends & Outlook section, updated quarterly, covers topics about this metro such as .. assessing the implications of next jobs report .. impact of Fed''s interest rate action .. which sectors are expanding or contracting .. housing market conditions .. insights to help your planning and decision-making. The Recent Trends & Outlook section is available in the subscription edition.

2. Overview & Update
The total population of the Milwaukee-Waukesha-West Allis, WI MSA metro changed from 1,556,715 in 2010 to 1,574,115 in 2015, a change of 19,032 (1.2%). Among all 917 metros, this metro was ranked number 39 in 2010 and 39 in 2015, based on total population. Annual net migration was -1,917 (2011), -1,134 (2012), -2,804 (2013), -3,761 (2014), -3,761 (2015). View annual population estimates and components of change table. See more about population characteristics below.

This metro is projected to have a total population in 2020 of 1,661,515. The projected population change from 2010 to 2020 is 104,980 (6.7%). The population ages 65 years and over is projected to change from 201,660 (2010) to 296,125 (2020), a change of 94,465 (46.8%). See more about population projections.

Based on per capita personal income (PCPI), this metro was ranked number 70 in 2008 and 89 in 2014. among the 917 metros for which personal income was estimated.The PCPI changed from $44,042 in 2008 to $48,638 in 2014, a change of $4,596 (10.4%). Per capita personal income (PCPI) is a comprehensive measure of individual economic well-being. Use the interactive table to compare PCPI in this metro to other metros. See more about PCPI in Economic Characteristics section below.

282 metropolitan statistical areas, of the total 381, experienced an increase in real Gross Domestic Product (GDP) between 2009 and 2014. This metro ranked number 36 among the 381 metros based on 2014 GDP. The GDP (millions of current dollars) changed from $84,966 in 2009 to $97,307 in 2014 a change of $12,341 (14.52%). Real GDP (millions of real, inflation adjusted, dollars) changed from $84,966 in 2009 to $90,056 in 2014, a change of $5,090 (5.99%). GDP is the most comprehensive measure of metro economic activity. GDP is the sum of the GDP originating in all industries in the metro. See more about GDP in Economic Characteristics section below.

Attributes of driil-down, small area geography within the metro ... metros account for 65,744 of the national scope 73,056 census tracts (others are in non-metro areas). This metro is comprised of 431 tracts covering the metro wall-to-wall. View, rank, compare demographic-economic attributes of these tracts using the interactive tables. Use the CBSA code 33340; see table usage details below the table.

Fortune 1000 Companies with headquarters in this metro.
  • A.O. Smith Corporation
  • Fiserv, Inc.
  • Harley-Davidson, Inc.
  • Johnson Controls, Inc.
  • Joy Global Inc.
  • Kohl's Corporation
  • ManpowerGroup Inc.
  • Northwestern Mutual Life Insurance Company
  • Quad/Graphics, Inc.
  • Rexnord Corporation
  • Rockwell Automation, Inc.
  • Roundy's, Inc.
  • Wisconsin Energy Corporation

Number in this metro: 13. Extended data & analysis in subscription edition.

3. Lay of the Land & Neighborhood Patterns of Economic Prosperity   go top

3.1. Lay of the Land go top
Lay of the Land. The following map shows the metro with bold boundary.
Counties are labeled with county name and state-county FIPS code.

 
  View developed with CV XE GIS software.   See this section to learn about making custom metro maps.

3.2. Patterns of Economic Prosperity by Neighborhood go top

Median household income by census tract (see color/data legend at left of map).

 
  View developed with CV XE GIS software.   See this section to learn about making custom metro maps.

4. Population Characteristics & Trends go top
Updated monthly, quarterly, annually. Housing market conditions and extended detail Available in subscription edition.

4.1. Component City Characteristics go top
Principal Cities (about principal cities); Click link to view city profile.
  •   Milwaukee
  •   Waukesha
  •   West Allis

Cities 10,000 population and over; click link to view city profile.
  AreaCensus
2010
July 1
2010
July 1
2011
July 1
2012
July 1
2013
July 1
2014
Change
2010-14
%Change
2010-14
  Brookfield, WI (5510025) 37,920 37,932 37,912 38,013 37,999 37,982 50 0.10
  Brown Deer, WI (5510375) 11,999 12,007 12,047 12,079 12,099 12,102 95 0.80
  Cedarburg, WI (5513375) 11,412 11,447 11,470 11,506 11,512 11,506 59 0.50
  Cudahy, WI (5517975) 18,267 18,276 18,300 18,328 18,354 18,341 65 0.40
  Franklin, WI (5527300) 35,451 35,482 35,745 35,869 36,282 36,278 796 2.20
  Germantown, WI (5528875) 19,749 19,742 19,723 19,774 19,788 19,901 159 0.80
  Glendale, WI (5529400) 12,872 12,884 12,884 12,903 12,961 12,887 3 0.00
  Grafton, WI (5530000) 11,459 11,494 11,523 11,543 11,534 11,531 37 0.30
  Greendale, WI (5531125) 14,046 14,052 14,079 14,309 14,331 14,332 280 2.00
  Greenfield, WI (5531175) 36,720 36,766 36,825 37,043 37,137 37,157 391 1.10
  Hartford, WI (5533000) 14,223 14,228 14,230 14,239 14,248 14,280 52 0.40
  Menomonee Falls, WI (5551000) 35,626 35,630 35,692 35,830 35,917 35,974 344 1.00
  Mequon, WI (5551150) 23,132 23,118 23,241 23,322 23,386 23,509 391 1.70
  Milwaukee, WI (5553000) 594,833 595,064 597,435 598,768 599,503 599,642 4,578 0.80
  Muskego, WI (5555275) 24,135 24,160 24,263 24,419 24,541 24,621 461 1.90
  New Berlin, WI (5556375) 39,584 39,587 39,613 39,727 39,821 39,842 255 0.60
  Oak Creek, WI (5558800) 34,451 34,488 34,662 34,857 34,992 35,053 565 1.60
  Oconomowoc, WI (5559250) 15,759 15,774 15,798 15,887 16,232 16,319 545 3.50
  Pewaukee, WI (5562240) 13,195 13,216 13,432 13,618 13,822 13,942 726 5.50
  Port Washington, WI (5564450) 11,250 11,289 11,357 11,418 11,379 11,586 297 2.60
  Richfield, WI (5567475) 11,300 11,303 11,323 11,351 11,381 11,460 157 1.40
  Shorewood, WI (5573725) 13,162 13,162 13,171 13,183 13,348 13,331 169 1.30
  South Milwaukee, WI (5575125) 21,156 21,159 21,185 21,220 21,237 21,236 77 0.40
  Sussex, WI (5578750) 10,518 10,521 10,576 10,637 10,685 10,740 219 2.10
  Waukesha, WI (5584250) 70,718 70,709 70,709 71,207 71,263 71,489 780 1.10
  Wauwatosa, WI (5584675) 46,396 46,454 46,496 47,044 47,152 47,102 648 1.40
  West Allis, WI (5585300) 60,411 60,428 60,507 60,696 60,729 60,624 196 0.30
  West Bend, WI (5585350) 31,078 31,200 31,416 31,580 31,576 31,692 492 1.60
  Whitefish Bay, WI (5586700) 14,110 14,110 14,119 14,134 14,137 14,122 12 0.10

All places interactive tables General Demographics | Social | Economic | Housing
All places time series population estimates interactive table.

4.2. Component County Characteristics   go top
Updated periodically, annually. General demographics, social characteristics and extended detail Available in subscription edition.

Metropolitan areas are defined as one or more contiguous counties based on a set of demographic-economic criteria. Counties comprising the metro are shown below. For multi-county metros, this section provides insights into how the population is changing by county. Many metros changed geographic composition (counties included in the metro) between the Census 2010 vintage and the current vintage. These changes, if any, are also shown below (county is marked with **). See projections in related section.Click county code link to view county components of change.

  AreaJuly 1
2010
PctJuly 1
2011
PctJuly 1
2012
PctJuly 1
2013
PctJuly 1
2014
PctJuly 1
2015
Pct
Metro Summary ... more details 1,556,715 100.0 1,561,467 100.0 1,567,495 100.0 1,571,207 100.0 1,574,115 100.0 1,575,747 100.0
  Milwaukee County, WI (55079) 948,301 60.9 951,697 60.9 955,063 60.9 957,286 60.9 957,913 60.9 957,735 60.8
  Ozaukee County, WI (55089) 86,371 5.5 86,737 5.6 87,073 5.6 87,138 5.5 87,566 5.6 87,850 5.6
  Washington County, WI (55131) 131,967 8.5 132,225 8.5 132,649 8.5 132,758 8.4 133,301 8.5 133,674 8.5
  Waukesha County, WI (55133) 390,076 25.1 390,808 25.0 392,710 25.1 394,025 25.1 395,335 25.1 396,488 25.2

All counties interactive tables General Demographics | Social | Economic | Housing
All counties population estimates & components of change time series interactive table.

4.2.1. RDEMS County Characteristics
Updated quarterly. For more information, see RDEMS Main.
Links open HSG1 Housing & New Residential Construction section. Select other sections from list above table.
  Milwaukee County, WI
  Ozaukee County, WI
  Washington County, WI
  Waukesha County, WI

4.3. General Demographic Characteristics
Updated annually. For more information, detail & to compare areas use interactive table.
  Item20132014Change
2013-14
%Change
2013-14
Total Population: Race/Origin 1,569,659 1,572,245 2,586 0.16
  One race 1,528,305 1,538,030 9,725 0.64
    White 1,173,512 1,167,486 -6,026 -0.51
    Black/African American 1,173,512 1,167,486 -6,026 -0.51
    American Indian/Alaska Native 5,426 8,055 2,629 48.45
    Asian alone 50,081 53,488 3,407 6.80
    Native Hawaiian/Pacific Islander 299 282 -17 -5.69
    Some other race alone 40,771 46,022 5,251 12.88
  Two or more races 41,354 34,215 -7,139 -17.26
  Hispanic or Latino (of any race) 158,035 160,750 2,715 1.72
Population 25 years and over 1,048,631 1,053,933 5,302 1.72
  % high school graduate or higher 90.0 90.4 0.4 0.44
  % bachelor's degree or higher 33.2 33.7 0.5 1.51
Total Households 622,962 626,248 3,286 1.51
  Median household income ($) 51,957 53,164 1,207 2.32
  Mean household income ($) 71,659 73,894 2,235 3.12
  Item20132014Change
2013-14
%Change
2013-14
Total Population: Gender & Age 1,569,659 1,572,245 2,586 0.16
  Male 765,610 766,020 410 3.12
  Female 804,049 806,225 2,176 3.12
  Under 5 years 101,166 100,409 -757 3.12
  5 to 9 years 103,069 105,641 2,572 2.50
  10 to 14 years 107,049 102,699 -4,350 -4.06
  15 to 19 years 105,065 105,589 524 0.50
  20 to 24 years 104,679 103,974 -705 -0.67
  25 to 34 years 218,304 218,376 72 0.03
  35 to 44 years 194,450 194,451 1 0.00
  45 to 54 years 222,180 218,488 -3,692 -1.66
  55 to 59 years 112,172 108,558 -3,614 -3.22
  55 to 59 years 112,172 108,558 -3,614 -3.22
  60 to 64 years 89,705 96,584 6,879 7.67
  65 to 74 years 112,188 117,565 5,377 4.79
  75 to 84 years 65,983 65,163 -820 -1.24
  85 years and over 33,649 34,748 1,099 3.27
  Median age 37.2 37.4 0.2 0.54
  18 years and over 1,195,863 1,200,305 4,442 0.37
  21 years and over 1,130,972 1,138,846 7,874 0.70
  62 years and over 262,843 271,684 8,841 3.36
  65 years and over 211,820 217,476 5,656 2.67

5. Housing Characteristics & Trends go top
Updated monthly, quarterly, annually. Housing market conditions and extended detail Available in subscription edition.

5.1. Total Housing Units
Updated Annually. Independent annual model-based estimates. For more information, detail & to compare areas use interactive table.
  ItemCensus
2010
July 1
2010
July 1
2011
July 1
2012
July 1
2013
July 1
2014
Change
2010-2014
%Change
2010-2014
  Total Housing Units 669,879 669,901 670,482 670,751 671,229 671,916 2,015 0.30

5.2. General Housing Characteristics
Updated Annually. For more information, detail & to compare areas use interactive table.
  Item20132014Change
2013-14
%Change
2013-14
Housing Units: Units in Structure 669,901 671,950 2,049 0.31
  1-unit, detached 370,232 364,973 -5,259 -1.42
  1-unit, attached 44,049 41,305 -2,744 -6.23
  2 units 73,664 79,818 6,154 8.35
  3 or 4 units 31,822 33,912 2,090 6.57
  5 to 9 units 43,545 42,868 -677 -1.55
  10 to 20 units 26,126 24,947 -1,179 -4.51
  20 or more units 76,239 80,722 4,483 5.88
  Item20132014Change
2013-14
%Change
2013-14
Housing Units: Occupancy & Tenure 669,901 671,950 2,049 0.31
  Occupied Housing Units 622,962 626,248 3,286 0.53
    Owner 377,065 373,101 -3,964 -1.05
    Renter 245,897 253,147 7,250 2.95
  Vacant Housing Units 46,939 45,702 -1,237 -2.64
  Homeowner vacancy rate 1.30 1.60 0.30...
  Rental vacancy rate 4.20 3.70 -0.50...
Average household size; owner-occ 2.60 2.62 0.02 0.77
Average household size; renter-occ 2.27 2.23 -0.04 -1.76
Median Value $ owner occupied 188,100 190,400 2,300 1.22
Median Rent $ renter occupied 807 836 29 3.59

5.3. Residential Construction; Housing Units Authorized & Value
Updated Monthly. 12 most recent months. For more information, detail & to compare areas use interactive table.
  ItemAug15Sep15Oct15Nov15Dec15Jan16Feb16Mar16Apr16May16Jun16Jul16
Total Residential Units 140 351 222 241 269 161 131 177 308 487 411 222
  in 1 unit bldgs 118 120 143 130 89 86 94 135 157 148 157 127
  in 2 unit bldgs 4 2 6 0 2 2 4 6 6 2 4 2
  in 3-4 unit bldgs 0 0 0 0 0 0 0 0 0 0 0 0
  in 5+ unit bldgs 18 229 73 111 178 73 33 36 145 337 250 93
  Bldgs with 5+ units 3 8 4 6 5 4 4 6 13 5 7 6
  Percent Coverage 100 100 100 100 100 100 100 100 100 100 100 100
Value ($000), Total Units 37,530 80,400 58,074 54,007 46,297 35,787 33,982 49,156 73,007 88,435 67,139 52,200
  1 unit structures 34,761 43,992 48,116 44,426 26,936 28,502 29,937 43,601 53,385 50,908 49,698 43,166
  2 unit structures 559 400 1,305 0 250 326 715 825 558 290 540 295
  3-4 unit structures 0 0 0 0 0 0 0 0 0 0 0 0
  5+ unit structures 2,210 36,008 8,653 9,581 19,111 6,959 3,330 4,730 19,064 37,237 16,901 8,739

5.4. Housing Price Index go top
Updated quarterly. All transactions; not seasonally adjusted. See related Housing Price Index (HPI) interactive table.
See related 5-Digit ZIP Code HPI interactive table.

    Housing Price Index:2015Q32015Q42016Q12016Q22016Q3
    173.03 173.71 174.40 177.38 180.02
    Quarter-to-Quarter/Year Percent Change:2015Q3-2015Q42015Q4-2016Q12016Q1-2016Q22016Q2-2016Q32015Q3-2016Q3
  0.39 0.40 1.71 1.49 4.04
6. Economic Characteristics & Trends go top

6.1. Economic Profile go top
The Economic Profile shows shows derivation and key components of total personal income. Data are organized by place of residence and place of work. The place of residence profile includes estimates of total personal income, population, and per capita personal income. The place of work profile includes estimates of total earnings, total employment and average earnings per job. Updated annually. See related interactive table.

  Item20112012201320142015Change
2011-2015
%Change
2011-2015
Personal income 70,995,151 74,534,455 74,270,489 77,104,318 79,860,741 8,865,590 12.5
  Net earnings 1/ 46,313,350 48,356,177 48,379,611 49,762,246 51,643,072 5,329,722 11.5
  Personal current transfer receipts 12,020,373 12,267,152 12,503,304 12,979,958 13,444,248 1,423,875 11.8
    Income maintenance 2/ 1,651,954 1,682,466 1,746,613 1,784,407 1,751,901 99,947 6.1
    Unemployment insurance compensation 613,884 468,270 366,322 188,753 157,043 -456,841 -74.4
    Retirement and other 9,754,535 10,116,416 10,390,369 11,006,798 11,535,304 1,780,769 18.3
  Dividends, interest, and rent 3/ 12,661,428 13,911,126 13,387,574 14,362,114 14,773,421 2,111,993 16.7
  Population 4/ 1,561,467 1,567,495 1,571,207 1,574,115 1,575,747 14,280 0.9
  Per capita personal income 45,467 47,550 47,270 48,983 50,681 5,214 11.5
  Per capita net earnings 29,660 30,849 30,791 31,613 32,774 3,114 10.5
  Per capita personal current transfer receipts 7,698 7,826 7,958 8,246 8,532 834 10.8
    Per capita income maintenance 1,058 1,073 1,112 1,134 1,112 54 5.1
    Per capita unemployment insurance compensation 393 299 233 120 100 -293 -74.6
    Per capita retirement and other 6,247 6,454 6,613 6,992 7,321 1,074 17.2
  Per capita dividends, interest, and rent 8,109 8,875 8,521 9,124 9,376 1,267 15.6
  Earnings by place of work 54,452,308 56,519,536 57,524,430 59,070,717 61,260,102 6,807,794 12.5
    Wages and salaries 39,710,907 40,971,447 41,744,508 43,108,707 44,954,910 5,244,003 13.2
    Supplements to wages and salaries 10,192,824 10,384,589 10,470,925 10,564,611 10,572,080 379,256 3.7
      Employer cont. for empl. pension & insur. funds 6/ 7,041,339 7,159,570 7,179,567 7,207,396 7,130,777 89,438 1.3
      Employer cont. for government social insurance 3,151,485 3,225,019 3,291,358 3,357,215 3,441,303 289,818 9.2
    Proprietors' income 4,548,577 5,163,500 5,308,997 5,397,399 5,733,112 1,184,535 26.0
      Nonfarm proprietors' income 39,979 31,702 40,142 31,275 30,336 -9,643 -24.1
      Farm proprietors' income 4,508,598 5,131,798 5,268,855 5,366,124 5,702,776 1,194,178 26.5
Total full-time and part-time employment 993,461 1,000,354 1,014,065 1,024,372 1,038,129 44,668 4.5
  Wage and salary jobs 835,450 843,584 856,122 865,315 874,333 38,883 4.7
  Number of proprietors 158,011 156,770 157,943 159,057 163,796 5,785 3.7
    Number of nonfarm proprietors 7/ 1,562 1,494 1,527 1,526 1,522 -40 -2.6
    Number of farm proprietors 156,449 155,276 156,416 157,531 162,274 5,825 3.7
Average earnings per job (dollars) 54,811 56,500 56,727 57,665 59,010 4,199 7.7
  Average wages and salaries 47,532 48,568 48,760 49,819 51,416 3,884 8.2
  Average nonfarm proprietors' income 28,818 33,050 33,685 34,064 35,143 6,325 21.9
Dollar items are in current dollars (not adjusted for inflation). Per capita items in dollars; other dollar items in thousands of dollars.
See related notes.

6.2. Cost of Living Indexes   go top
Updated periodically. Available in subscription edition.

6.3. Cost of Doing Business Indexes   go top
Updated periodically. Available in subscription edition.

6.4. Consumer Price Index   go top
Updated monthly. Available in subscription edition.

6.5. Gross Domestic Product by Sector   go top
Updated quarterly, annually. For more information, detail & to compare areas use interactive table. Additional detail in subscription edition.
  Item200920102011201220132014Change
2009-14
%Change
2009-14
Gross Domestic Product, millions of current dollars 84,966 86,779 89,668 91,862 94,840 97,307 12,341 14.52
Real Gross Domestic Product, millions of real dollars 84,966 86,297 88,124 88,266 89,368 90,056 5,090 5.99

6.6. Establishments, Employment & Earnings by Detailed Type of Business go top
Updated quarterly. For more information, detail & to compare areas use interactive table.
  SectorEstablishments
2015Q1
Employment
2015Q1
Avg Weekly Wages
2015Q1
Establishments
2015Q2
Employment
2015Q2
Avg Weekly Wages
2015Q2
 Total, all industries 43,388 1,320,696 997 44,123 1,353,153 916
 Total, all industries - Fed Govt 139 17,352 1,440 139 17,468 1,188
 Total, all industries - St Govt 53 12,983 1,024 54 12,743 1,247
 Total, all industries - Local Govt 681 103,736 907 687 107,860 935
 Total, all industries - Private 42,515 1,186,626 999 43,243 1,215,081 907
    Goods-producing 5,647 241,644 1,218 5,750 249,155 1,161
      Natural resources and mining 134 1,733 707 141 2,432 678
      Construction 2,965 41,154 1,101 3,034 46,587 1,103
      Manufacturing 2,548 198,756 1,247 2,575 200,136 1,181
    Service-providing 36,868 944,982 942 37,493 965,927 842
      Trade, transportation & utilities 8,002 230,361 808 8,145 232,439 754
      Information 399 23,536 1,698 419 23,313 1,300
      Financial activities 3,592 83,871 1,904 3,721 84,988 1,339
      Professional & business services 6,389 195,854 1,186 6,570 198,964 1,071
      Education and health services 9,750 248,430 844 9,897 253,056 829
      Leisure and hospitality 3,521 117,225 332 3,601 126,940 366
      Other services 5,201 45,665 529 5,140 46,226 539
      Unclassified 14 38 2,078 0 0 0

Notes: cell value of '...' indicates value suppressed to maintain confidentiality.

Use the following links to access detailed establishment and employment data by type of business (CSV files).
  .. see notes on using these files.
  2013Q1 .. 2013Q2 .. 2013Q3 .. 2013Q4 .|. 2014Q1 .. 2014Q2 .. 2014Q3 .. 2014Q4 .|. 2015Q1 .. 2015Q2 .. 2015Q3 .. 2015Q4 .. 2016Q1 .. 2016Q2
 
6.7. Labor Market Characteristics & Trends go top
Updated monthly. Available in subscription edition.
For more information, detail & to compare areas use interactive table.
Table shows 13 most recent months.
  ItemAug15Sep15Oct15Nov15Dec15Jan16Feb16Mar16Apr16May16Jun16Jul16Aug16
Unemplymnt Rate 5.8 5.3 5.3 5.3 5.1 6.0 6.2 5.7 5.3 4.8 5.7 5.5 5.5
Unemployment 28,101 25,134 25,387 25,611 24,346 28,602 29,805 27,486 25,495 23,001 27,456 26,919 26,741
Employment 454,289 451,475 454,689 454,066 452,109 448,600 451,782 452,596 452,445 453,044 457,578 461,410 460,747
Labor Force482,390476,609480,076479,677476,455477,202481,587480,082477,940476,045485,034488,329487,488

7. Education Infrastructure   go top

7.1. Component School District Characteristics   go top
Districts in this metro. Updated periodically. See related School District interactive table.
District NameCity Name District
Code
Locale
Code
CountyState2012-13
Enrollment
2013 Total
Population
Grade Relevant
Pop Ages 5-17
Arrowhead Uhs School DistrictHartland 55061802155133WI 2,275 34,129 2,390
Brown Deer School DistrictBrown Deer 55018002155079WI 1,622 12,105 1,829
Cedarburg School DistrictCedarburg 55024602155089WI 3,048 20,294 3,805
Cudahy School DistrictCudahy 55030602155079WI 2,623 18,431 2,679
Elmbrook School DistrictBrookfield 55017702155133WI 6,992 45,185 8,039
Erin School DistrictHartford 55044104155131WI 338 2,546 279
Fox Point J2 School DistrictMilwaukee 55048002155079WI 951 11,097 1,316
Franklin Public School DistrictFranklin 55048302155079WI 4,435 29,217 4,748
Friess Lake School DistrictHubertus 55128804155131WI 265 2,237 260
Germantown School DistrictGermantown 55051602155131WI 3,997 25,850 4,945
Glendale-River Hills School DistrictGlendale 55054602155079WI 1,024 12,780 1,163
Grafton School DistrictGrafton 55056102155089WI 2,124 13,522 2,146
Greendale School DistrictGreendale 55059102155079WI 2,633 14,169 2,382
Greenfield School DistrictGreenfield 55059402155079WI 3,890 29,088 3,441
Hamilton School DistrictSussex 55060302155133WI 4,698 26,175 4,803
Hartford J1 School DistrictHartford 55060902355131WI 1,766 17,851 2,222
Hartford Uhs School DistrictHartford 55061202355131WI 1,443 32,070 1,730
Hartland-Lakeside J3 School DistrictHartland 55061402155133WI 1,271 11,833 1,617
Kettle Moraine School DistrictWales 55035102155133WI 4,196 24,299 5,085
Kewaskum School DistrictKewaskum 55073802355131WI 1,856 13,766 2,482
Lake Country School DistrictHartland 55000132155133WI 519 4,297 498
Maple Dale-Indian Hill School DistrictFox Point 55047702155079WI 491 1,823 248
Menomonee Falls School DistrictMenomonee Falls 55090602155133WI 4,295 29,221 4,560
Mequon-Thiensville School DistrictMequon 55091302155089WI 3,563 26,659 4,605
Merton Community School DistrictMerton 55093602155133WI 954 6,520 1,017
Milwaukee School DistrictMilwaukee 55096001155079WI 78,363 599,897 111,407
Mukwonago School DistrictMukwonago 55100603155133WI 4,750 29,031 5,456
Muskego-Norway School DistrictMuskego 55101702155133WI 4,977 29,436 5,486
New Berlin School DistrictNew Berlin 55104704155133WI 4,656 35,462 5,615
Nicolet Uhs School DistrictGlendale 55054902155079WI 1,100 25,700 1,351
Norris School DistrictMukwonago 55107104155133WI 44 132 72
North Lake School DistrictNorth Lake 55093002155133WI 408 2,798 379
Northern Ozaukee School DistrictFredonia 55048904155089WI 1,435 5,644 974
Oak Creek-Franklin Joint School DistrictOak Creek 55108302155079WI 6,382 39,118 6,517
Oconomowoc Area School DistrictOconomowoc 55108902155133WI 5,131 33,848 5,969
Pewaukee School DistrictPewaukee 55116402155133WI 2,639 17,091 2,633
Port Washington-Saukville School DistrictPort Washington 55120002155089WI 2,686 17,369 2,730
Richfield J1 School DistrictRichfield 55129004155131WI 420 4,629 545
Richmond School DistrictSussex 55081302155133WI 493 2,854 501
Saint Francis School DistrictSaint Francis 55132602155079WI 1,299 9,441 1,009
Shorewood School DistrictShorewood 55138002155079WI 2,059 13,277 1,850
Slinger School DistrictSlinger 55139502355131WI 3,031 15,794 2,893
South Milwaukee School DistrictSouth Milwaukee 55140402155079WI 3,314 21,340 3,377
Stone Bank School DistrictOconomowoc 55093904155133WI 357 2,669 330
Swallow School DistrictHartland 55092402155133WI 596 3,158 631
Waukesha School DistrictWaukesha 55157801355133WI 13,867 94,234 14,814
Wauwatosa School DistrictWauwatosa 55159902155079WI 7,204 46,855 7,180
West Allis-West Milwaukee School DistrictWest Allis 55162601355079WI 9,390 68,825 9,526
West Bend School DistrictWest Bend 55162902355131WI 6,920 51,887 8,884
Whitefish Bay School DistrictWhitefish Bay 55166202155079WI 3,097 14,233 3,107
Whitnall School DistrictGreenfield 55060002155079WI 2,332 17,692 2,588

Number of districts: 51 ... Total enrollment: 228,219
All school districts interactive tables General Demographics | Social | Economic | Housing
All school districts enrollment & adminstratively reported data interactive table.

7.2. Component Higher Education Institution Characteristics   go top
2014-15 School Year. Extended detail Available in subscription edition.
  Institution City Name Code LevelTotal UG EnrollmentFulltime UG EnrollmentTotal Grad EnrollmentFulltime Grad Enrollment
Advanced Institute of Hair Design-Glendale Glendale, WI2381664 82 82 0 0
Alverno College Milwaukee, WI2381938 1,723 1,284 666 388
Brensten Education Waukesha, WI4554243 453 453 0 0
Bryant & Stratton College-Bayshore Glendale, WI4585025 530 272 0 0
Bryant & Stratton College-Milwaukee Milwaukee, WI2399295 847 299 0 0
Bryant & Stratton College-Wauwatosa Wauwatosa, WI4517505 698 373 0 0
Cardinal Stritch University Milwaukee, WI2384309 2,308 2,157 1,503 1,102
Carroll University Waukesha, WI2384589 3,015 2,706 431 220
Columbia College of Nursing Glendale, WI2385737 147 137 4 4
Concordia University-Wisconsin Mequon, WI2386169 4,377 3,112 3,784 1,765
DeVry University-Wisconsin Milwaukee, WI4826717 137 51 111 14
Empire Beauty School-Milwaukee Milwaukee, WI4487984 93 93 0 0
Herzing University-Brookfield Brookfield, WI4598517 324 209 8 2
ITT Technical Institute-Germantown Greenfield, WI4795675 4 4 0 0
ITT Technical Institute-Greenfield Greenfield, WI2388925 422 337 0 0
Marquette University Milwaukee, WI2391059 8,410 8,078 3,335 2,132
Milwaukee Area Technical College Milwaukee, WI2392483 16,712 5,261 0 0
Milwaukee Career College Milwaukee, WI4498613 92 92 0 0
Milwaukee Institute of Art & Design Milwaukee, WI2393095 622 609 0 0
Milwaukee School of Engineering Milwaukee, WI2393187 2,596 2,434 214 82
Mount Mary University Milwaukee, WI2393909 802 648 583 363
Ottawa University-Milwaukee Brookfield, WI4282597 227 2 62 0
Regency Beauty Institute-Greenfield Greenfield, WI4508364 79 79 0 0
The Academy Waukesha Waukesha, WI4595784 155 106 0 0
The Art Institute of Wisconsin Milwaukee, WI4700925 529 333 0 0
The Institute of Beauty and Wellness Milwaukee, WI4506504 213 85 0 0
University of Phoenix-Milwaukee Campus Milwaukee, WI4404577 284 284 4 4
University of Wisconsin-Milwaukee Milwaukee, WI2404539 22,674 18,793 4,922 2,628
VICI Aveda Institute Greenfield, WI2381754 125 125 0 0
Waukesha County Technical College Pewaukee, WI2401253 8,692 1,729 0 0
Wisconsin Lutheran College Milwaukee, WI2403387 1,074 980 105 3

  Number of institutions: 31 ... Total undergraduate enrollment: 78,446
  Levels: 3-Assoc degree, 4-at least 2, but < 4 years, 5-Bach degree, 6-Postbacc cert, 7 Masters degree, 8 Post-masters cert, 9 Doctors degree

8. GeoPolitics   go top
Updated periodically. Voting patterns, citizen voting age population, state legislative districts, congressional districts .. in this metro.
Available in subscription edition.

Notes
  • All data are for current vintage county and metro definition.
  • Developed by ProximityOne -- Metro Reports (888-364-7656)
  • Data sources: ProximityOne, Census Bureau, Bureau of Economic Analysis, Bureau of Labor Statistics, Federal Housing Finance Agency,
    National Center for Education Statistics.

Updates go top
The subscription edition updates frequently. Selected items are listed below. Register to receive update notifications.
  • Overview lead narrative; quarterly & annual/March.
  • Housing Price Index (section 5.4) quarterly.
  • Establishments, employment & earnings (section 6.6) quarterly.
  • Economic profile and personal income (section 6.1) annual/November.
  • Labor market situation (section 6.7) monthly.
  • Residential construction; units authorized & value (section 5.3.) monthly.
  • Population by county; annual series 2010-2016 (section 4.2.) annual/July.
  • Population by county; links for individual counties (section 4.2.) annual/July.
      -- includes annual data 2010-2016.
      -- includes components of change; race/origin; single year of age; age group summaries.
  • Total population and components of change; annual/March.
  • Census tracts overview section; annual/December.
  • General Demographics section updated/extended; annual/December.
  • Gross Domestic Product section; annual/September.
  • Higher education institutions; annual/February.
  • Metro & county demographic component detailed annual estimates; annual/March.
  • School districts in metro & K-12 enrollment; annual/August.
More about schedule and upcoming events ... Calendar ... Upcoming Events ... Find Event

Terms of Use go top
Situation & Outlook Reports are a proprietary resource developed by ProximityOne. There is no warranty of any type associated with any aspect of this report. The user of this document is solely responsible to any use, direct or indirect, that might be made of this document.

Related Resources go top
  • Metros main page
  • Current estimates and projections: states to 2030, counties & metros to 2020 by age, counties & states to 2060.
  • Making Custom Metropolitan Area Maps
  • Rental Market Conditions by Metropolitan Area
  • Metro Gross Domestic Product
  • Housing Price Index
  • Establishments, Employment & Earnings
  • Regional Economic Information System
  • ACS 2014 1-year General Demographics ... Social Characteristics ... Economic Characteristics ... Housing Characteristics

Using this Document go top
The Situation & Outlook Report, a component of the Situation & Outlook, is a core ProximityOne information resource providing insights into characteristics and trends of counties, metropolitan areas, states and the U.S. The Report also provides a gateway to drill-down demographic, economic and business data for smaller geographic areas.

Metropolitan areas include approximately 94 percent of the U.S. population -- 85 percent in metropolitan statistical areas (MSAs) and 9 percent in micropolitan statistical areas (MISAs).

About Metropolitan Areas & Principal Cities -- scroll section go top
Metropolitan Areas are designated by OMB ("Standards for Delineating Metropolitan and Micropolitan Statistical Areas") based mainly on Census Bureau-sourced data. Metropolitan areas are defined as Metropolitan Statistical Areas (MSA) and Micropolitan Statistical Areas (MISA). MSAs and MISAs are also referred to a Core-Based Statistical Areas (CBSAs). Contiguous CBSAs are defined as Combined Statistical Areas (CSA).

By definition, metropolitan areas are comprised of one or more contiguous counties. Metropolitan areas are not single cities and typically include many cities. Metropolitan areas are comprised of urban and rural areas and often have large expanses of rural territory. A business and demographic-economic synergy exists within each metro; metros often interact with adjacent metros. The demographic-economic make-up of metros vary widely and change often. See more about metros.

Principal Cities. The largest city in each metropolitan or micropolitan statistical area is designated a "principal city." Principal cities are designated by OMB based on Census-sourced data. Additional cities qualify as principal cities if specified requirements are met concerning population size and employment. The title of each metropolitan or micropolitan statistical area consists of the names of up to three of its principal cities and the name of each state into which the metropolitan or micropolitan statistical area extends. Titles of metropolitan divisions also typically are based on principal city names but in certain cases consist of county names.

One or more principal cities are designated within each Metropolitan Statistical Area (MSA) and Micropolitan Statistical Area (MISA). The term "principal city" is defined in the OMB "Standards for Delineating Metropolitan and Micropolitan Statistical Areas." A principal city is an OMB designation applied to one or more incorporated places and/or census designated places (CDPs). The OMB standards designate a Principal City (or Cities) of a Core-Based Statistical Area (CBSA) as determined by:
  a) The largest incorporated place with a 2010 Census population of at least 10,000 in the CBSA or,
        if no incorporated place of at least 10,000 population is present in the CBSA,
        the largest incorporated place or census designated place in the CBSA; and
  b) Additional places with 2010 Census population of at least 250,000 or in which 100,000 or more persons work; and
  c) Additional places with 2010 Census population of 50,000-250,000,
        and number of workers working in the place meets or exceeds the number of workers living in the place; and
  d) Additional places with 2010 Census population of 10,000-50,000, and at least one-third the population size of the largest place,
        and in which the number of workers working in the place meets or exceeds the number of workers living in the place.

ProximityOne User Group go top
Join the ProximityOne User Group to keep up-to-date with new developments relating to metros and component geography decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group.

Support Using these Resources go top
Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

Additional Information go top
ProximityOne develops geographic-demographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact us (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.

  Copyright © 2018 ProximityOne