What is the residential demand for home heating fuel by type in the Wheeling, WV MSA?

How is the demand distributed by type by census tract?

 

This section shows how to develop and view/use data from the 2017 American Community Summary data at the census tract level to get answers to these questions.

.. generalizable to any metro (or other summary level)

.. generalizable to any demographic topic

 

In the Wheeling metro overall, the number of housing units by type of heating fuel is shown via this link:

https://factfinder.census.gov/bkmk/table/1.0/en/ACS/17_5YR/B25117/310M300US48540

To map/geospatially analyze these data, proceed as follows ...

 

A summary of the steps:

1.  access the required subject matter data.

1.1. determine the list of subject matter items

1.2. determine the list of census tract codes

1.3. use VDA Desktop GIS APIGateway with data from 1.1. and 1.2. to create the MSA by tract data file

1.4. optionally use the data from 1.3. with a program like Excel, stopping here.

 

Optionally proceed to create map to visually, geospatially, analyze the data.

 

2. use VDA Desktop GIS Database>dBMerge to merge the data in 1.3. into the exist tract shapefile.

 

3. Use the VDA Desktop GIS with associated GIS project to view/analyze the data.

 

--------------------

 

1.1. determine the list of subject matter items

 

Subject Matter: Selected items from Table B25117:

 

See other items/tables:

http://proximityone.com/acs2017/ACS2017_Table_Shells.xls

There are 33,923 populated data cells listed in the above table. Not all items are available for all geographies.

 

The table of interest from the above file:

 TENURE BY HOUSE HEATING FUEL

 Universe:  Occupied housing units

B25117_001        Total units

B25117_002        Owner occupied units

B25117_003        Utility gas

B25117_004        Bottled, tank, or LP gas

B25117_005        Electricity

B25117_006        Fuel oil, kerosene, etc.

B25117_007        Coal or coke

B25117_008        Wood

B25117_009        Solar energy

B25117_010        Other fuel

B25117_011        No fuel used

B25117_012        Renter occupied units

B25117_013        Utility gas

B25117_014        Bottled, tank, or LP gas

B25117_015        Electricity

B25117_016        Fuel oil, kerosene, etc.

B25117_017        Coal or coke

B25117_018        Wood

B25117_019        Solar energy

B25117_020        Other fuel

B25117_021        No fuel used

 

 

Create subject matter file:

 

save following item codes to file c:\cvxe\1\api_items_acs2017_b25117.txt

B25117_001E Total units

B25117_002E Owner occupied units

B25117_003E Utility gas

B25117_004E Bottled, tank, or LP gas

B25117_005E Electricity

B25117_006E Fuel oil, kerosene, etc.

B25117_007E Coal or coke

B25117_008E Wood

B25117_009E Solar energy

B25117_010E Other fuel

B25117_011E No fuel used

B25117_012E Renter occupied units

B25117_013E Utility gas

B25117_014E Bottled, tank, or LP gas

B25117_015E Electricity

B25117_016E Fuel oil, kerosene, etc.

B25117_017E Coal or coke

B25117_018E Wood

B25117_019E Solar energy

B25117_020E Other fuel

B25117_021E No fuel used

 

1.2. determine the list of census tract codes

 

Create Geographies (tracts) file

Use c:\cvxe\1\api_geo_tracts73056.txt

Select tracts in three counties (determine county list from metro S&O report):

39013 Belmont County

54051 Marshall County

54069 Ohio County

 

save following tract codes to file c:\cvxe\1\api_geo_tracts_wheeling.txt

39013010100

39013010200

39013010300

39013010600

39013010700

39013010802

39013010900

39013011000

39013011200

39013011300

39013011400

39013011500

39013011600

39013011700

39013011900

39013012000

39013012100

39013012200

39013012300

39013012400

54051020200

54051020500

54051020601

54051020702

54051020800

54051020900

54051021000

54051021100

54051021300

54069000200

54069000300

54069000400

54069000500

54069000600

54069000700

54069001300

54069001400

54069001500

54069001600

54069001700

54069001800

54069001901

54069002000

54069002100

54069002200

54069002600

54069002700

 

1.3. use VDA Desktop GIS APIGateway with data from 1.1. and 1.2. to create the MSA by tract data file

 

Start File>APIGateway:

Open the Geographic Areas file

Open the Subject Matter file

Select the Geography Level as Census Tract

Select the Datasets as ACS 2017/5yr

Empty the RecLimit edit box

 

Click the Run button; processing takes a few minutes.

The file c:\cvxe\1\apinewfile.dbf is generated.

The new file has a row for each tract and column for each subject matter item.

Close the form when processing complete.

 

The grid shows tracts as rows and subject matter items as columns.

Column headers show the item code/field name.

 

 

Extracted file may be viewed in VDA Desktop GIS Database>DBrowse (file appears similar in Excel):

 

 

2. use VDA Desktop GIS Database>dBMerge to merge the data in 1.3. into the exist tract shapefile.

 

Merge into shapefile dbf: CB_2017_US_TRACT_500K_ACS2017.dbf

(files cannot be in use)

 

or cb_2017_tracts_wheeling.dbf (three county variation):

geoid like '39013%' or geoid like '54069%' or  geoid like '54051%'

 

DBMerge form closes when complete.

 

Open the GIS project with the shapefile that was updated.

Use Layer Editor to label tracts with item B25117_001 (total housing units)

 

See in view below ... pointer in tract labeled with 1720 housing units.

See ShapeViewer profile to right of map.

There are 1,127 occupied units (households).

Of the 1,197 owner occupied units, 535 are estimated to use utility gas for heating.

 

 

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