-- tools to access, view, integrate & analyze data resources
GeoStat is a powerful resource to access and integrate multi-sourced Federal and other geostatistical data in a manner that facilities creating and applying insights -- data-driven planning, management and analysis. Supporting access to, integration and use of Census 2010, American Community Survey (ACS), the Regional Economic Information System, ProximityOne estimates and projections and other statistical programs now, GeoStat will progressively provide access to Census 2020.
An important feature of GeoStat, providing API-based access to these data, is the ability to integrate of data from diverse statistical programs. Unlike for example the Census Bureau tools focused only on Census programs. Review the start-up and usage orientation below or skip to the operations details below.
07 Terms & Concepts
08 Metadata Files
10 Version Features
GeoStat Start-Up View
- click graphic for larger view.
After installing GeoStat (see details below) on a Windows computer, the start-up view shown above appears. The grid shows a view of all cities included in the American Community Survey 2018 1 year estimates (ACS2018). There is one row for each city with subject matter arrayed in the columns. The subject matter list is determined by the user. Creating this display, you can now perform analytically oriented operations on these data and/or save the current grid as a dBase, Excel, delimited or fixed length field text file. Saved as a dBase file, the data may be integrated into a shapefile and added to a GIS project. Optionally create a thematic map view or perform geospatial analytics. Designed and supported for use with the ProximityOne CV XE GIS, the data/files created using GeoStat may be used with any GIS software that uses shapefiles.
Select the type of geography (summary level) using the Summary Level drop-down in the panel at the left of the grid. By selecting Congressional Districts then clicking the "Load from SumLev" See example.
Scope of Geography -- 1 in rightmost columns denotes availability
Starting with view shown above, create a comparative analysis view for a set of cities as shown in the graphic below. - click graphic for larger view.
Multi-select areas of interest in the Geography Listbox and click the Run from Selections button at the top of control panel. In this example three cities are selected. The subject matter is the same as shown in the Subject Matter listbox and used in the previous example/graphic for cities.
Scope of Subject Matter
Use GeoStat to access any of the data for any of the geography in the ACS2017 or ACS2018 summary files. Level 2 users can access a broader array of data (many statistical programs) and access an extended set of features.
Two introductory examples.
You want a file that contains the most recent estimates of median household income and related items for all 116th congressional districts. With GeoStat running, follow these steps (below -- three clicks) to create that file. Get these data for any type of tabulation geography (summary level) for which the ACS 2018 1-year estimates are tabulated (see list).
This version of GeoStat is focused on the American Community Survey 1-year 2017 and 2018 demographic-economic data.
02 Operations .. goto top
02.1 User Interface
02.1. User Interface .. goto top
1.1. Left panel
1.1.1. Control panel
runs listbox1 for each item selected
Load by Sumlev
loads all items in listbox1 to grid1
1.1.2. Subject Matter
1.2. Main Grid (Grid1)
1.3. Profile Grid (Grid2)
Shows only when ListBox1 is dbl-clicked
1.4. Main Menu
02.2. Start-up .. goto top
2.1. Load by SumLev
07 Terms & Concepts .. goto top
08 Metadata File .. goto top
The metadata file is a text file that contains a row for each subject matter item to be accessed. The structure of the metadata file is fixed and must follow rules listed below. There are two metadata files included with the installer. A metadata file may contain up to 50 items. The metadata file must contain these fields:
- Subject matter item field name; left-justified, cols 1-13
- Tabs in profile grid display; col 14
- Sequence number in metadata file of item to be used as divisor for percentages; cols 7-8; right-justified number
- Field name and field attributes; cols 28-28; left-justified.
.. field name must be 10 characters or less, no spaces or special characters.
- Descriptive name for the item to be used in profile displays/files.
The following section shows the default metadata file. The numbers that appear above the NAME row are not included in the file. They are used here to show field locations within the record (as enumerated above).
NAME is required as the first field and must be the first row/record in the file.
Default MetaData File: a selection or population & household items
... this file is included with the installer.
1 2 3 4 1234567890123456789012345678901234567890 NAME 0 0 AreaName,C,120,0 AreaName B01001_001E 0 2 Population,N,9,0 Total population B02001_002E 1 2 White,N,9,0 White alone B02001_003E 1 2 Black,N,9,0 Black or African American alone B02001_004E 1 2 AIAN,N,9,0 American Indian & Alaska Native alone B02001_005E 1 2 Asian,N,9,0 Asian alone B02001_006E 1 2 NHOPI,N,9,0 Native Hawaiian & Other Pacific Islander alone B02001_007E 1 2 Pop_Other,N,9,0 Some other race alone B02001_008E 1 2 Pop_tom,N,9,0 Two or more races B03003_003E 1 2 Hispanic,N,9,0 Hispanic or Latino (any race) B29001_001E 1 2 CVAP,N,9,0 Citizen voting age population B19013_001E 0 0 MHI,N,9,0 Median household income B19301_001E 0 0 PCI,N,9,0 Per capita income B25077_001E 0 0 MdHsgVal,N,9,0 Median housing value B25064_001E 0 0 MdRent,N,9,0 Median gross rent B19083_001E 0 0 GiniIndex,N,9,4 Gini index of income inequality B25001_001E 0 17 HsgUnits,N,9,0 Total housing units B25002_002E 1 17 Households,N,9,0 Occupied units (households) B25003_002E 2 17 OwnOcc,N,9,0 Owner occupied units B25003_003E 2 17 RentOcc,N,9,0 Renter occupied units B25002_003E 1 17 Vacant,N,9,0 Vacant units
Population by Gender and Age Group -- ACS Table B01001
... this file is included with the installer.
1 2 3 4 1234567890123456789012345678901234567890 NAME 0 0 AreaName,C,120,0 AreaName B01001_001E 2 2 TotPop,N,9,0 Total Population B01001_002E 2 2 MalePop,N,9,0 Male Population B01001_003E 2 3 Male0004,N,9,0 Male Under 5 years B01001_004E 2 3 Male0509,N,9,0 Male 5 to 9 years B01001_005E 2 3 Male1014,N,9,0 Male 10 to 14 years B01001_006E 2 3 Male1517,N,9,0 Male 15 to 17 years B01001_007E 2 3 Male1819,N,9,0 Male 18 and 19 years B01001_008E 2 3 Male2020,N,9,0 Male 20 years B01001_009E 2 3 Male2121,N,9,0 Male 21 years B01001_010E 2 3 Male2224,N,9,0 Male 22 to 24 years B01001_011E 2 3 Male2529,N,9,0 Male 25 to 29 years B01001_012E 2 3 Male3035,N,9,0 Male 30 to 34 years B01001_013E 2 3 Male3539,N,9,0 Male 35 to 39 years B01001_014E 2 3 Male4044,N,9,0 Male 40 to 44 years B01001_015E 2 3 Male4549,N,9,0 Male 45 to 49 years B01001_016E 2 3 Male5054,N,9,0 Male 50 to 54 years B01001_017E 2 3 Male5559,N,9,0 Male 55 to 59 years B01001_018E 2 3 Male6061,N,9,0 Male 60 and 61 years B01001_019E 2 3 Male6264,N,9,0 Male 62 to 64 years B01001_020E 2 3 Male6566,N,9,0 Male 65 and 66 years B01001_021E 2 3 Male6769,N,9,0 Male 67 to 69 years B01001_022E 2 3 Male7074,N,9,0 Male 70 to 74 years B01001_023E 2 3 Male7579,N,9,0 Male 75 to 79 years B01001_024E 2 3 Male8084,N,9,0 Male 80 to 84 years B01001_025E 2 3 Male85up,N,9,0 Male 85 years and over B01001_026E 2 2 FemalePop,N,9,0 Female Population B01001_027E 2 3 Female0004,N,9,0 Female Under 5 years B01001_028E 2 3 Female0509,N,9,0 Female 5 to 9 years B01001_029E 2 3 Female1014,N,9,0 Female 10 to 14 years B01001_030E 2 3 Female1517,N,9,0 Female 15 to 17 years B01001_031E 2 3 Female1819,N,9,0 Female 18 and 19 years B01001_032E 2 3 Female2020,N,9,0 Female 20 years B01001_033E 2 3 Female2121,N,9,0 Female 21 years B01001_034E 2 3 Female2224,N,9,0 Female 22 to 24 years B01001_035E 2 3 Female2529,N,9,0 Female 25 to 29 years B01001_036E 2 3 Female3034,N,9,0 Female 30 to 34 years B01001_037E 2 3 Female3539,N,9,0 Female 35 to 39 years B01001_038E 2 3 Female4044,N,9,0 Female 40 to 44 years B01001_039E 2 3 Female4549,N,9,0 Female 45 to 49 years B01001_040E 2 3 Female5054,N,9,0 Female 50 to 54 years B01001_041E 2 3 Female5559,N,9,0 Female 55 to 59 years B01001_042E 2 3 Female6061,N,9,0 Female 60 and 61 years B01001_043E 2 3 Female6264,N,9,0 Female 62 to 64 years B01001_044E 2 3 Female6566,N,9,0 Female 65 and 66 years B01001_045E 2 3 Female6769,N,9,0 Female 67 to 69 years B01001_046E 2 3 Female7074,N,9,0 Female 70 to 74 years B01001_047E 2 3 Female7579,N,9,0 Female 75 to 79 years B01001_048E 2 3 Female8084,N,9,0 Female 80 to 84 years B01001_049E 2 3 Female85up,N,9,0 Female 85 years and over09 Installation .. goto top
Install GeoStat on a Windows computer by clicking this link and following the prompts. Taking all default settings is recommended. The installer requires your User Group UserID. Join now. No fee.
10 Version Features .. goto top
Limited to 50 subject matter items per individual run.
Operates only with ACS 2017 and ACS 2018 1-year detailed summary data.
Summary levels supported:
.. 010 United States
.. 040 States
.. 050 Counties
.. 160 Cities/Places
.. 310 CBSAs: Metropolitan Statisitcal Areas; Micropolitan Statistical Areas
.. 500 116th Congressional Districts
Level 1 features plus additional features.
Up to 250 subject matter items per individual run.
ACS 2017 and ACS 2018 1-year and 5-year detailed summary data.
.. ACS 2018 5-year data available later December 2019 as released by Census
All summary levels supported
.. to block group for ACS
.. to census block for Census 2010/Census 2020
GeoStat is a proprietary product of ProximityOne.
GeoStat may be be redistributed.
There are no warranties of any type regarding any aspect of GeoStat.
A user of GeoStat is solely responsible for any use made of GeoStat.
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