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ProximityOne visual analysis resources
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visually analyze clients/markets
site analysis using 1 mile radius

S1

$median household income
patterns by census tract - Houston

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113th Congressional Districts

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US Asian Indian population 2010

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geocoded students and school
McKinney ISD, TX

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geocoded students and school
with tax parcels & streets

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high school attendance zones
with schools by type

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%high school graduates by
census tract - Puerto Rico

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Austin, TX MSA counties &
places 10K+ population markers

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Appalachia counties (green) &
coalfield counties (orange)

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China provinces percent urban &
cities (markers) by state plan

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Honolulu census tracts (red)
& census blocks


Central Park area NYC

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Kansas City Metro & Counties
Home Depot locations (markers)

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World Cities; focus on Spain

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Data Analytics Blog
Power of Combining Maps with Data

Support & Technical Assistance
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America's City Population Characteristics & Trends: 2010-18

May 2019 .. Of the nation's 327.2 million people, an estimated 206.0 million (62.9%) live within an incorporated place as of July 1, 2018. Of approximately 19,500 incorporated places, about 76 percent had fewer than 5,000 people and nearly 50 percent had fewer than 1,000 people. Examine characteristics of individual city population trends and compare cities in states, regions and peer groups using the interactive table below. Use the U.S. by cities shapefile with your GIS projects. See details below.

Create Side-by-Side Spreadsheet Profiles
  • Select any set of cities
  • See details and examples below

Cities by Population %Change 2010-2018 -- 10,000 Population or More
The following view shows cities with 2018 population of 10,000 or more. The marker color shows population percent change during 2010-2018. It is easy to see regionally how city population is changing. Click graphic for larger view; expand window to full screen.

- View developed using the CV XE GIS software.

Patterns of City Percent Change in Population 2010-18
  -- Cities in the Chicago Area
The following view shows thematic patterns of population percent change, 2010-18 for cities in the Chicago area. Bold boundary shows the Chicago-Naperville-Elgin, IL-IN-WI MSA. See color/interval assignment in legend. Click graphic for larger view; expand window to full screen.

- View developed using the CV XE GIS software.
- Flexibly create your own views using the cities GIS project.
- Examine city population trends, patterns; zoom to desired areas; label as needed; integrate other data.

City/Place Demographics in Context & Related Data
  • State & Regional Demographic-Economic Characteristics & Patterns
    .. individual state sections with analytical tools & data access to block level
  • Metropolitan Area Situation & Outlook
    .. continuously updated characteristics, patterns & trends for each/all metros
  • ACS 2017 5-year estimates
    .. related City/Place Demographic-Economic Interactive Tables
    .. General Demographics ... Social ... Economic ... Housing Characteristics
  • U.S. by County 2010-2018 Estimates
  • U.S. by Metro 2010-2018 Estimates

Using the Interactive Table
Use the interactive table below view, rank, query and compare cities of interest. View the list of cities with the largest 2018 population by dbl-clicking the header cell "Population 7/1/2018" in the table. Place a state query on the table to select cities in a state of interest and click the header cell "Population 7/1/2018" to view cities in that state ranked by size. Choose other columns to view other relationships.

Example. Rank/view the largest cities in a metro. The following graphic shows the largest 10 cities in the Chicago metro based on the 2018 population (CBSA code 16980).


City Population Estimates & Trends Interactive Table: 2010-2018
  See usage notes below ranking table. See related interactive tables.
  Rank on any column by clicking column header; use mouse-over on column header to view description of item.
  Use horizontal bar, slide right, to view 2018 population, 2010-18 change and percent change.
  .. use buttons below table for selective columns view.


Usage Notes
  • Click ShowAll between queries/filters.
  • Use left-most column to select by state.
  • Find in Name button; click ShowAll button first
    .. click Find in Name button to search column 1 for text in edit box.
    .. text entered in edit box is case sensitive.
    .. partial names are okay to use.
    .. click with default value to view all rows with "Houston" (no quotes)
  • Find in CBSA button; click ShowAll button first
    .. click Find in CBSA button to search column 6 for text in edit box.
    .. text entered in edit box must be the 5-character CBSA code.
    .. click with default value to view all rows with "26420" (no quotes)
        ... 26420 is the Houston, TX metro CBSA code
    .. enter the CBSA code for a metro of interest.

  • Find in County button; click ShowAll button first
    .. click FindCounty button to search column 5 for text in edit box.
    .. text entered in edit box must be the 5-character state+county FIPS code.
    .. click with default value to view all rows with "48201" (no quotes)
        ... 48201 is the Harris County, TX state+county FIPS code
    .. enter the state+county FIPS code for county of interest.

Selected columns buttons
  • ColSet1 - click to view the set of all years and 2010-18 change columns.

  • Population Min & Max> button
    .. click to show only peer group counties based on values
        in min and max edit boxes.
    .. enter the minimum 2018 population in the left edit box.
    .. enter the maximum 2018 population in the right edit box.
  • Click ShowAll between queries/filters.

Using the U.S. by Cities Shapefile with Integrated Demographics .. goto top
The U.S. by city/place shapefile is developed/updated annually as part of the Census Bureau TIGER/Line digital map database. It is the most authoritative and up-to-date source of annually updated incorporated city boundaries. ProximityOne integrates the city population annual time series estimates into the smoothed version of the national U.S. by place shapefile.

Users of the CV XE GIS Level 2 or Level 3 software with an active support license may download the U.S. by place shapefile at no fee. The U.S. by place shapefile with integrated estimates may be used with any software that can process shapefiles.

About These Data -- goto top
City and sub-county population estimates are developed annually by the Census Bureau. The model-based estimates are normally released in May (e.g., 7/1/18 estimates released in May 2019). Population estimates for incorporated places the city with boundaries as defined as of January 1, 2018.

Incorporated Cities/Places
The legal designations, powers, and functions of incorporated places vary from state to state. Incorporated places include cities, towns (except in New England, New York, and Wisconsin where towns are county administrative subdivision), boroughs (except in Alaska where boroughs are treated as equivalents of counties and New York where five boroughs comprise New York City) and villages. Incorporated places can cross both county boundaries.

ProximityOne assigns each city to a county and CBSA/metro (if located in a CBSA). The county is assigned using a U.S. by city point shapefile. The county is assigned to a city for the county that contains the city point (internal area latitude-longitude). The CBSA code is assigned based on the county code (all CBSAs are comprised of one of more counties).

Data in Excel/Database Structure
Data shown in the table are available in the form of Excel, CSV or DBF structure. Users of the shapefile (described above may use the dbf part of the shapefile for tabular/spread-type analysis and to integrate with other data.

Comparing Cities Side-by-Side -- goto top
With CV XE GIS running using the US1 GIS project open, compare any number of cities side-by-side and save the results in a spreadsheet file.

Item Descriptions for CV XE GIS Comparative Analysis -- scroll section
- GeoObject ID
- City Name
- City Name with type
- State USPS
- Place Code
- County Code
- Metro Code
- Principal City Status
- Type of City
- Land Area, SqMi
- Water Area SqMi
- Internal point, latitude
- Internal point, longitude
- Population Census 2010
- Population Base 2010
- Population 7/1/2010
- Population 7/1/2011
- Population 7/1/2012
- Population 7/1/2013
- Population 7/1/2014
- Population 7/1/2015
- Population 7/1/2016
- Population 7/1/2017
- Population 7/1/2018
- Pop Chg 2010-18
- %Pop Chg 2010-18
- Pop Chg 2017-18
- %Pop Chg 2017-18
- ACS17POP - Total population
- ACS17CVAP - Citizen voting age populaiton
- ACS17HS - Percent High School Graduate (25 yrs+)
- ACS17COLL - Percent College Graduate (25 yrs+)
- ACS17MHI - Median Household Income
- ACS17AHI - Mean Household Income
- ACS17MFI - Median Family Income
- ACS17AFI - Mean Family Income
- ACS17PCI - Per capita income
- ACS17HU - Housing units
- ACS17HUO - Occupied housing Units (households)
- ACS17HUV - Vacant housing units
- ACS17HUOVR - Owner occupied vacancy rate
- ACS17HURVR - Renter occupied vacany rate
- ACS17HUOO - Owner occupied units
- ACS17HURO - Renter occupied units
- ACS17MHV - Median housing value
- ACS17MRENT - Median rent
- Area
- Perimiter

Item names starting with "ACS17" are American Community Survey 5-year estimates (ACS 2017). Geographic items based on 2018 TIGER/line data. Other items based on Census 7/1/18 vintage model-based estimates released May 2019 (included in above table).

The following applications illustrate using the CV XE GIS tools to compare cities (an optional view created with CV XE GIS query settings on the cities layer):

Example 1: Chicago area: Naperville & Bollingbrook:


Illustrative results; comparing Naperville & Bollingbrook -- scroll section
-- compare any number, anywhere in the U.S.
- GeoObject IDUID38253560
- City NameNAMEBolingbrookNaperville
- City Name with typeNAME1Bolingbrook villageNaperville city
- State USPSSTABILIL
- Place CodeGEOID17071331751622
- County CodeCTYGEOID1719717043
- Metro CodeCBSAFP1698016980
- Principal City StatusPCICBSANY
- Type of CityLSAD4725
- Land Area, SqMiALAND_SQMI24.61438.81
- Water Area SqMiAWATR_SQMI0.2040.582
- Internal point, latitudeINTPTLAT41.6911241.749173
- Internal point, longitudeINTPTLON-88.101566-88.162019
- Population Census 2010CEN201073366141853
- Population Base 2010BASE201073365142154
- Population 7/1/2010POP201073476142388
- Population 7/1/2011POP201173788143189
- Population 7/1/2012POP201273962144015
- Population 7/1/2013POP201373927144912
- Population 7/1/2014POP201474065146228
- Population 7/1/2015POP201574174147012
- Population 7/1/2016POP201674427147243
- Population 7/1/2017POP201775072147689
- Population 7/1/2018POP201875178148304
- Pop Chg 2010-18POP1018C17025916
- %Pop Chg 2010-18POP1018P2.34.2
- Pop Chg 2017-18POP1718C106615
- %Pop Chg 2017-18POP1718P0.10.4
- ACS17POP - Total populationACS17POP74548146431
- ACS17CVAP - Citizen voting age populationACS17CVAP4583198564
- ACS17HS - Percent High School Graduate (25 yrs+)ACS17HS88.597
- ACS17COLL - Percent College Graduate (25 yrs+)ACS17COLL36.166.8
- ACS17MHI - Median Household IncomeACS17MHI83419114014
- ACS17AHI - Mean Household IncomeACS17AHI98821140888
- ACS17MFI - Median Family Income ACS17MFI88790134572
- ACS17AFI - Mean Family IncomeACS17AFI102153161498
- ACS17PCI - Per capita incomeACS17PCI3089850087
- ACS17HU - Housing unitsACS17HU2357253673
- ACS17HUO - Occupied housing Units (households)ACS17HUO2212351272
- ACS17HUV - Vacant housing unitsACS17HUV14492401
- ACS17HUOVR - Owner occupied vacancy rateACS17HUOVR1.10.6
- ACS17HURVR - Renter occupied vacany rateACS17HURVR5.95.5
- ACS17HUOO - Owner occupied unitsACS17HUOO1789638684
- ACS17HURO - Renter occupied unitsACS17HURO422712588
- ACS17MHV - Median housing valueACS17MHV209200398500
- ACS17MRENT - Median rentACS17MRENT13051415
- AreaGIS_AREA24.82 mi239.47 mi2
- Perimiter GIS_LENGTH41.75 mi117.8 mi

Example 2: Florida: Orlando & Tampa (green fill pattern; counties with white labels):


Illustrative results; comparing Orlando & Tampa -- XLS file
-- compare any number, anywhere in the U.S.
-- click to view Orlando & Tampa profile

Example 3: Texas: Frisco & McKinney (green fill pattern; counties with white labels):


Illustrative results; comparing Frisco & McKinney -- XLS file
-- compare any number, anywhere in the U.S.
-- click to view Frisco & McKinney profile

Example 4: Colorado: Boulder & Fort Collins (green/blue fill patterns; counties with white labels):


Illustrative results; comparing Boulder & Fort Collins - XLS file
-- compare any number, anywhere in the U.S.
-- click to view Boulder & Fort Collins profile

Example 5: California: Huntington Beach, Costa Mesa, Newport Beach (green/blue/orange fill patterns; counties white labels):


Illustrative results; comparing Huntington Beach, Costa Mesa, Newport Beach - XLS file
-- compare any number, anywhere in the U.S.
-- click to view Huntington Beach, Costa Mesa, Newport Beach profile

Support Using these Resources .. goto top
Learn more about demographic economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these 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.

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

Additional Information .. goto 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 software, data and methodologies to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact ProximityOne (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.



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