TIF Project
| TIF Project | |
|---|---|
| Project Information | |
| Has title | TIF Project |
| Has owner | Cindy Ryoo, Yunnie Huang |
| Has start date | 11/20/2017 |
| Has deadline date | |
| Has keywords | TIF; city; data; GIS; Tax Increment Finance; KML |
| Has project status | Active |
| Has sponsor | McNair Center |
| Copyright © 2019 edegan.com. All Rights Reserved. | |
Contents
- 1 Data
- 2 Summary
- 3 Old Work
- 4 Cities not in our sample with TIF Data
- 5 Uploading TIF Data onto database (tigertest)
- 6 Newly Found Data
Data
New data is in
E:\projects\agglomeration\TIF
Old data is in
E:\McNair\Projects\Agglomeration\TIF
Main output is a table tifallclean (in vcdb4), which has 666 records and name, startyear, endyear, geog, statecode, and source (i.e., whioch file it came from) fields.
The very first build of these data was documented at the bottom of this page and in Jeemin Sim (Work Log).
Summary
Install ogr2ogr on mother:
apt install gdal-bin
There are 10 TIF shapefiles, which either have date date embedded or where date data is separately available. Of these, 8 are loaded from KML files with ogr2ogr:
ogr2ogr -f PostgreSQL PG:"dbname=vcdb4" Chicago.kml -nln tifchicago ogr2ogr -f PostgreSQL PG:"dbname=vcdb4" Columbus.kml -nln tifcolumbus ogr2ogr -f PostgreSQL PG:"dbname=vcdb4" WashingtonDC.kml -nln tifwashingtondc ogr2ogr -f PostgreSQL PG:"dbname=vcdb4" Houston.kml -nln tifhouston ogr2ogr -f PostgreSQL PG:"dbname=vcdb4" Vermont.kml -nln tifvermont ogr2ogr -f PostgreSQL PG:"dbname=vcdb4" Dublin.kml -nln tifdublin ogr2ogr -f PostgreSQL PG:"dbname=vcdb4" Atlanta.kml -nln tifatlanta ogr2ogr -f PostgreSQL PG:"dbname=vcdb4" AlleghenyCounty.kml -nln tifalleghenycounty
Two are loaded with shp2pgsql, and in both cases the original data needs to be imported into ArcGIS and then exported in a standard projection as a first processing step. I used WGS1984:
--in ../StLouis1984 shp2pgsql -I "StLouisWGS1984" tifstlouis | psql -U researcher -W -d vcdb4 --in ../Dallas1984 shp2pgsql -I "DallasWGS1984.shp" tifdallas | psql -U researcher -W -d vcdb4
Sources:
- Chicago, IL, 138 with dates: https://data.cityofchicago.org/Community-Economic-Development/Boundaries-Tax-Increment-Financing-Districts/fz5x-7zak
- Columbus, OH, 68 with dates: http://data-columbus.opendata.arcgis.com/datasets/tax-increment-financing-areas?geometry=-112.588%2C-29.382%2C112.588%2C29.382
- Washington, DC:
- 17 without dates: https://opendata.dc.gov/datasets/tax-increment-financing-tif-areas
- WashingtonDCNamesAndDates.txt compiled from: http://lims.dccouncil.us, https://code.dccouncil.us/dc/council/code/sections, https://ggwash.org/view/12907/what-can-dc-learn-from-its-successful-subsidies, https://cfo.dc.gov/sites/default/files/dc/sites/ocfo/publication/attachments/FY%202018%20DC%20CAFR_Full%20Report.pdf, https://code.dccouncil.us/dc/council/code/titles/2/chapters/12/subchapters/IX/
- Houston, TX:
- 17 without dates: https://cohgis-mycity.opendata.arcgis.com/datasets/coh-tirz
- HoustonDatesAndData.txt compiled from https://www.houstontx.gov/finance/COHTIRZPerformanceAudit-FINAL(INCLUDINGAPPENDICES-NOMAPS).pdf
- Dallas, TX, 214 with dates (needs projection transformation): http://www.dallascad.org/GISDataProducts.aspx
- Vermont:
- 12 without dates: http://geodata.vermont.gov/datasets/cd53b08d40fc4e7dbc2757c36d038af5_7/data
- VermontNamesAndDates.txt compiled from https://accd.vermont.gov/sites/accdnew/files/documents/DED/VEPC/Tiff/TIFDISTRICTSstatus.pdf and https://accd.vermont.gov/community-development/funding-incentives/tif
- Dublin, OH, 46 with dates: https://data-dublinohio.opendata.arcgis.com/datasets/tax-increment-finance-zones
- Altanta, GA, 10 with dates: https://dcp-coaplangis.opendata.arcgis.com/datasets/tax-allocation-district
- AlleghenyCounty (Pittsburg), PA:
- 34 without dates: https://data.wprdc.org/dataset/allegheny-county-tif-boundaries
- AlleghenyCountyNamesAndDates.txt compiled from https://www.alleghenycontroller.com/admin/attachments/7880501fe636c1fe90fa572eb72b54292019MarTue13550615536085066512bd43d9caa6e02c990b0a82652dca36830bb3ce75baae6d5313ca822b2dc2FinalEconomicDevelopmentTaxSubsidiesReport.pdf
- St. Louis, MO:
- 118 without dates (needs projection transformation): https://www.stlouis-mo.gov/data/tax-increment-financing-districts.cfm
- StLouisNamesAndDates.txt compiled from https://www.stlouis-mo.gov/government/departments/sldc/documents/upload/Summary-of-TIF-Redevelopment-Projects-Updated-12-31-18.pdf
Notes from the Agglomeration Project
Chicago
Starting the process with Chicago. Do the following:
- Go to: https://data.cityofchicago.org/Community-Economic-Development/Boundaries-Tax-Increment-Financing-Districts/fz5x-7zak
- Save the KML as E:\projects\agglomeration\TIF\Chicago.KML
- Load the KML into the dbase using ogr2ogr [1], note the the nln option creates a new layer (table)
- Note that you have to hit refresh on the dbase (or at least the table list) in DataGrip to get the new table to show up
- Also, you'll need to fix the date types in post-processing. Note that null dates are going to show up as year 0, which doesn't actually exist and is incorrect (try SELECT to_date('0', 'YYYY')) and again with -1. See https://github.com/sequelize/sequelize/issues/3762 and blame the pope.
ogr2ogr -f PostgreSQL PG:"dbname=vcdb3" Chicago.kml -nln tifchicago
The table tifchicago corresponds to the XML below, except that it has some extra fields. The index field seems to be autogenerated, and tessellate, extrude and visibility are always -1,0, and -1 respectively. All other fields are blank, including description, timestamp, begin, and end (note that you can query end with "end" in postgres):
SELECT ogc_fid, name, description, timestamp, begin, "end", altitudemode, tessellate, extrude, visibility, draworder, icon FROM tifchicago;
The KML is an XML file with meta data (including an approval date, an expiration date, and a name, as well as some other values, some of which could be derived from the geometry) and then a set of points that describe the outer ring of a polygon:
<Placemark> <styleUrl>#defaultStyle</styleUrl> <name>Northwest Industrial Corridor</name> <ExtendedData> <value>12/2/1998</value> <value>19,20,23,25,26,27</value> <value>12/2/2021</value> <value>Industrial</value> <value>Northwest Industrial Corridor</value> <value>0</value> <value>107</value> <value>T- 64</value> <value></value> <value>Y</value> <value>51402231.0322</value> <value>80417.4828932</value> <value>1</value> <value>Existing</value> <value>Industrial</value> <value>27,28,30,31,37</value> </ExtendedData> <MultiGeometry> <Polygon> <outerBoundaryIs> <LinearRing> <coordinates> -87.74541914577178,41.92534327389125 -87.74541599224814,41.92516215074396 </coordinates> </LinearRing> </outerBoundaryIs> </Polygon> </MultiGeometry> </Placemark>
The ind variable might be useful if they are sufficiently systematic across jurisdictions. use was a messy version of ind. The sbif apprears to be a Small Business Improvement Fund grant specific to Chicago [2]
SELECT sbif, count(*) FROM TifChicagoClean GROUP BY sbif; sbif count Y 92 N 45
SELECT DISTINCT ind FROM TifChicagoClean; ind Mixed-Use Residential Mixed-use Industrial Commercial Transportation
One by One
Chicago -- credit Jonathan Levy, created Jul 17, 2013, updated Mar 19, 2019 [3], has 138 TIFs with dates, approved from 1989-09-13 to 2018-10-31. Expiration ranges from 2018-07-13 to 2052-12-31.
ogr2ogr -f PostgreSQL PG:"dbname=vcdb3" Chicago.kml -nln tifchicago
Columbus, OH. Last updated 8/8/2017. Downloaded full dataset [4], which should contain 69 records as a KML. URL in each record is out of date but just points to https://www.columbus.gov/development/economic-development/. Records have PASSAGE dates but no end dates. They also have DTE_STATUS but it isn't clear that this really means anything (something to do with filling form DTE24?).
ogr2ogr -f PostgreSQL PG:"dbname=vcdb3" Columbus.kml -nln tifcolumbus
Washington, DC. Last updated 6/25/2019. Downloaded full dataset [5], which should contain 17 records. There are no dates and a quick search didn't find any. There's useful information here: https://cfo.dc.gov/sites/default/files/dc/sites/ocfo/publication/attachments/tx_tif_chapter_2020j.pdf It should also be noted that firms located in the DC Ballpark TIF area are specifically excluded from being Qualified High Technology Companies[6]. Checked the old version, and it didn't have dates either... so the labelling on TIF Project appears incorrect.
Call: 202 727 1140 -- Aisa Reed, senior data analyst. 202 727 4364 Nate Cruz, deputy director of Office of Economic Development Finance 202 478 9152 Nancy Fox, Senior Policy Analyst, Office of Economic Development Finance
Note that we might be able to infer them, one by one, from financial statements or by looking at their creating acts: https://cfo.dc.gov/node/230912
ogr2ogr -f PostgreSQL PG:"dbname=vcdb3" WashingtonDC.kml -nln tifwashingtondc
Some date data taken from: https://cfo.dc.gov/sites/default/files/dc/sites/ocfo/publication/attachments/FY%202018%20DC%20CAFR_Full%20Report.pdf Others can be taken directly from the legislation either http://lims.dccouncil.us or https://code.dccouncil.us/dc/council/code/sections (better through Google). In 2 cases, I also took data from a news article [7]. See also, DC's TIF legislation: https://code.dccouncil.us/dc/council/code/titles/2/chapters/12/subchapters/IX/
Houston - no longer exists... But we have the shape files from the previous round of work. http://data.houstontx.gov/dataset/city-tax-increment-reinvestment-zones-tirz now leads to a dead link for the zip, but it does say that the file was created June 30, 2017, 2:27 PM (UTC-04:00) and last updated July 20, 2017, 2:22 PM (UTC-04:00). Again, though, no dates! Can go one by one through the creation docs found at https://www.houstontx.gov/ecodev/tirz_info.html This site lists 27 TIRZ, whereas there are only 23 in the old data. Harris County says that it participates in just 5 Houston TIRZs [8].
In z:/vcdb3/Houston:
shp2pgsql -I "TIRZ.shp" tifhouston | psql -U researcher -W -d vcdb3 drop table tifhouston;
In z:/vcdb3/HarrisCounty
shp2pgsql -I "TIRZ.shp" tifharriscounty | psql -U researcher -W -d vcdb3 drop table tifharriscounty;
See https://www.bostongis.com/pgsql2shp_shp2pgsql_quickguide.bqg for a cheatsheet for shp2pgsql.
Found City of Houston KML data here: https://cohgis-mycity.opendata.arcgis.com/datasets/coh-tirz It doesn't have dates but does have 27 rows and was last updated 7/10/2019.
ogr2ogr -f PostgreSQL PG:"dbname=vcdb3" Houston.kml -nln tifhouston
One TIF had a null name, which was changed to UNKNOWN. By process of elimination, this was Village Enclaves (Terminated).
Found the dates in a review: https://www.houstontx.gov/finance/COHTIRZPerformanceAudit-FINAL(INCLUDINGAPPENDICES-NOMAPS).pdf This was processed and extracted to E:\projects\agglomeration\TIF\HoustonDatesAndData.txt. Note that the total increment and project costs were $830,822k and $1,732,558k, respectively.
Also, the Texas Comptroller's office has a nice chapter on TIFs: https://www.cdfa.net/cdfa/cdfaweb.nsf/ordredirect.html?open&id=tifintexas.html
Dallas - downloaded 'latest' data [9]. But no meta data is available. Shockingly, the data looks good and up to date. In contains legalstart and legalend fields for all 214 rows!
In z:/vcdb3/Dallas
shp2pgsql -I "LocalTaxDistrict.shp" tifdallas | psql -U researcher -W -d vcdb3
Vermont -- 12 records, last updated two years ago (4/7/2017), http://geodata.vermont.gov/datasets/cd53b08d40fc4e7dbc2757c36d038af5_7/data no dates available but one state contact (Megan Sullivan Executive Director, Vermont Economic Progress Council (802) 798-2221 Megan.Sullivan@vermont.gov) and an individual contact for each one. Dates are readily available from: https://accd.vermont.gov/sites/accdnew/files/documents/DED/VEPC/Tiff/TIFDISTRICTSstatus.pdf Other, more detailed info, is also available [10]. Note that Colchester was dissolved, having never become active and Milton has finished its debt service. TIFs get 10 yrs from approval to incur debt and then 20 yrs from debt to retain increment, which ends when debt service ends.
ogr2ogr -f PostgreSQL PG:"dbname=vcdb3" Vermont.kml -nln tifvermont
Dublin, OH -- 46 records, last updated 5/8/2018, seems up to date. Has dates!
ogr2ogr -f PostgreSQL PG:"dbname=vcdb3" Dublin.kml -nln tifdublin
Atlanta, GA -- Seems like 6+4 projects [11]. Found here: https://dcp-coaplangis.opendata.arcgis.com/datasets/tax-allocation-district All 10, last updated 8/29/2018. Has creation and end dates.
ogr2ogr -f PostgreSQL PG:"dbname=vcdb3" Atlanta.kml -nln tifatlanta
AlleghenyCounty (Pittsburg), PA -- Available from https://data.wprdc.org/dataset/allegheny-county-tif-boundaries but dates are "None" through out. Looks up to date (says August 20, 2019, 5:00 PM), and has 34 records. Same data available from http://openac-alcogis.opendata.arcgis.com/datasets/allegheny-county-tif-boundaries and https://catalog.data.gov/dataset/allegheny-county-tif-boundaries-a1715
ogr2ogr -f PostgreSQL PG:"dbname=vcdb3" AlleghenyCounty.kml -nln tifalleghenycounty
A report online [12], saved to the TIF folder, has end dates for 28 of 34 TIFs, which was used to infer start dates (T-20 from ). Note that the following TIF boundaries do not have dates:
CENTER TRIANGLE - LAZARUS CENTER TRIANGLE - MELLON CLIENT SERVICE CENTER MCCLAREN ROAD TIF NORTH SHORE PENN LIBERTY PLAZA SCHENLEY CENTER SEWICKLEY SOUTH SIDE WORKS WASHINGTON PARK
Also the following TIFs do not have boundaries:
Hazelwood‐Almono Summerset at Frick Park
Robinson Mall Peripheral is lumped in with Robinson Mall in the boundary data.
Looking for add ons
State-by-State-TIF-Spreadsheeet.xls is in the TIF folder. It was found on https://www.bettertogetherstl.com/economic-development-source-materials?rq=TIF and details the state level inception of TIF programs.
St. Louis, has shape files: https://www.stlouis-mo.gov/data/tax-increment-financing-districts.cfm, also available as GEOJSON, but no date info. File name includes TIF_DISTRICTS_20190830, which implies it is up-to-date. St. Loius County has a KML file [13] with a PASSED field. It may or may not coincide... and might not be up to date.
There are also recent KMLs without dates here: https://hub.arcgis.com/datasets/8918f94ffeca407fa48db2d66bc74c52/data And an official map, without data available seperately here: https://gisportal.stlouis-mo.gov/portal/apps/webappviewer/index.html?id=5cf974631f65487f868c5bfcfaa3e9f9 This says to contact Dale Ruthsatz (314) 657-3732 for help. Might also be able to get dates out of https://dor.mo.gov/business/tif/.
Found the data on the dates here: https://www.stlouis-mo.gov/government/departments/sldc/documents/upload/Summary-of-TIF-Redevelopment-Projects-Updated-12-31-18.pdf Also, the duration is a max of 23 years [stlouis-mo.gov/government/departments/sldc/economic-development/tax-increment-financing.cfm]
ogr2ogr -f PostgreSQL PG:"dbname=vcdb3" StLouisCounty.kml -nln tifstlouiscounty
--There are 46 records and we'd have to work to pull the passed field out of the description DROP TABLE tifstlouiscounty;
shp2pgsql -I "TIF_DISTRICTS_20190830.shp" tifstlouis | psql -U researcher -W -d vcdb3
--118 records
But, like Dallas, this data is in a non-standard projection (NAD_1983_StatePlane_Missouri_East_FIPS_2401_Feet).
DROP TABLE tifstlouis; shp2pgsql -I "StLouisWGS1984" tifstlouis | psql -U researcher -W -d vcdb3
These were put together with the dates using some regexes:
^(.*) Retired.*$ ^(.*) Active.*$ ^(.*) Terminated.*$ ^(.*) Never Approved.*$ ^(.*) On Hold.*$ .* (\d\d?\-\w\w\w-\d\d).*
Old Work
Cities in our sample with TIF Data
Cities not in our sample with TIF Data
| Name (City, State) | Shape File? Yes/No | Date Last Updated | Link to Data |
|---|---|---|---|
| Bloomington, IN | No | https://data.bloomington.in.gov/en/dataset/tax-increment-financing-tif-district-maps | |
| Oakland, MI | Yes | 2016 | http://accessoakland.oakgov.com/datasets/e90026448daa4d568daa3ef727d8d758_2 |
| St. Louis, MO | No | 2018 | http://www.bettertogetherstl.com/studies/economic-development/tif-database |
| Philadelphia, PA | No | ||
| Larimer County, CO | No | ||
| New Hampshire | No | http://www.swrpc.org/files/data/com_econ_dev/ed/December%202003_%20TIF%20Handbook_7232010forweb.pdf | |
| Sherman, TX | Yes | 2017 | https://koordinates.com/layer/16403-finance-tax-increment-finance-tif/ |
| Cincinnati, OH | No | ||
| Michigan | No |
Cities in our sample that have GIS data
Chicago,IL
Chicago, IL is in our data with 179 max active.
2017 GIS Data it appears to contain everything that we might need (the CSV contains everything)!!! https://data.cityofchicago.org/Community-Economic-Development/Boundaries-Tax-Increment-Financing-Districts/fz5x-7zak
Other Data on all tifs (inc start and end date) up to 2012 https://data.cityofchicago.org/Community-Economic-Development/TIF-Status-and-Eligibility/3qsz-jemf
Map (but not GIS) based data of Chicago TIFs up to 2017. Included CDC date. https://data.cityofchicago.org/Community-Economic-Development/Tax-Increment-Financing-TIF-Projects-Map/v3a3-hhqn
This dataset is a comprehensive list of every project in every TIF District that has received funding from the City of Chicago via the TIF program from the inception of TIF to current. https://data.cityofchicago.org/Community-Economic-Development/Tax-Increment-Financing-TIF-Projects/mex4-ppfc
Chicago KML from another source https://catalog.data.gov/dataset/boundaries-tax-increment-financing-districts
Columbus, OH
Columbus,OH is in our data with 29 max active KML with start dates! http://catalog.smartcolumbuside.com/en/dataset/tax-increment-financing-areas1
http://data-columbus.opendata.arcgis.com/datasets/tax-increment-financing-areas
Washington, DC
Washington, DC is in our data with 63 max active Data from 2011 available with TIF dates: http://opendata.dc.gov/datasets/tax-increment-financing-tif-areas See also, high tech dev zones (2013): http://opendata.dc.gov/datasets/111b31a212814aad9320d301ccf9d6a9_20 Econ dev zones (2004) http://opendata.dc.gov/datasets/a3aefd57db394fd68d739556253dc44d_18
Houston, TX
Houston, TX is in our data with 101 max active Last updated 2017, appears to have dates! http://data.houstontx.gov/dataset/city-tax-increment-reinvestment-zones-tirz
Dallas, TX
Has a map: http://www.arcgis.com/home/webmap/viewer.html?url=https://gis.dallascityhall.com/wwwgis/rest/services/Eco_public/EconomicDevelopment/MapServer/1 But the data doesn't contain dates and doesn't appear to be exportable. It looks like there is Dallas data with dates from 2016: http://www.dallascad.org/GISDataProducts.aspx
Vermont
Burlington, VT is in our data with 10 max active
GIS KML file, but doesn't contain creation date http://geodata.vermont.gov/datasets/cd53b08d40fc4e7dbc2757c36d038af5_7/data
Think the same thing is here: https://catalog.data.gov/dataset/vt-tax-increment-financing-tif-districts
Overview info: http://accd.vermont.gov/community-development/funding-incentives/tif
Dublin, OH
Dublin, OH is not in our data KML GIS data, has creation and expiration date! http://data-dublinohio.opendata.arcgis.com/datasets/ff0af920c18e4aa78459137b6efcd3d3_0?uiTab=table&selectedAttributes%5B%5D=TIF_ID&chartType=bar
Allegheny County, PA
PA cities in our data:
Bethlehem PA 10 Lehigh and Northampton counties Chesterbrook PA 11 Chester County Horsham PA 10 Montgomery County King of Prussia PA 15 Montgomery County Philadelphia PA 123 Philadelphia County Pittsburgh PA 150 Allegheny County West Conshohocken PA Montgomery County
Pittsburgh,PA is in Allegheny County, and may be covered in the data KML that is supposed to have dates but doesn't appear to https://data.wprdc.org/dataset/allegheny-county-tif-boundaries
Cities not in our sample
Bloomington, IN
Bloomington, IN is not in our data
Some maps that plot TIFs, suggesting underlying data... https://data.bloomington.in.gov/en/dataset/tax-increment-financing-tif-district-maps
They don't host the GIS data on their own site: https://data.bloomington.in.gov/en/dataset?sort=score+desc%2C+metadata_modified+desc&res_format=KML&q=&page=2
Oakland, MI
Oakland, MI is not in our data KML that has TIFs without dates http://accessoakland.oakgov.com/datasets/e90026448daa4d568daa3ef727d8d758_2
Cities We Couldn't Find
We looked for but couldn't find the following:
- Denver, CO
- Bellevue, WA
- Nashville-Davidson metropolitan government (balance), TN
- Washington, DC
- South San Francisco, CA
- Portland, OR
- Durham, NC
- Pleasanton, CA
- Baltimore, MD
- Burlington, MA
- Carlsbad, CA
- Milpitas, CA
- Richardson, TX
- Lexington, MA
- Los Gatos, CA
- Memphis, TN
- Oakland, CA
- Charlotte, NC
- Reston, VA
- Tysons Corner, VA
- Sandy Springs, GA
- Campbell, CA
- Madison, WI
- St. Louis, MO
- Alpharetta, GA
- Berkeley, CA
- Raleigh, NC
- Phoenix, AZ
- Ann Arbor, MI
- Woburn, MA
- Cary, NC
- Emeryville, CA
- Marlborough, MA
- Burlingame, CA
- Salt Lake City, UT
- San Carlos, CA
- Plano, TX
- Scottsdale, AZ
- Stamford, CT
- Alexandria, VA
- Newton, MA
- Pasadena, CA
- Albuquerque, NM
- Arlington, VA
- Bethesda, MD
- Columbus, OH
- Florence-Graham, CA
- Kirkland, WA
- Los Altos, CA
- Cleveland, OH
- Minneapolis, MN
- Boca Raton, FL
- Gaithersburg, MD
- New Haven, CT
- Cincinnati, OH
- Eden Prairie, MN
- Foster City, CA
- Indianapolis city (balance), IN
- Peachtree Corners, GA
- Columbia, MD
- Hayward, CA
- Irving, TX
- Bothell, WA
- Watertown Town, MA
- Chantilly, VA
- Culver City, CA
- Norwalk, CT
- El Segundo, CA
- Herndon, VA
- Providence, RI
There's data on a couple of places that we don't care about on https://ckan.geoplatform.gov/#?q=tax%20increment
Other Stuff
St. Louis, MO
St. Louis has data but without GIS shapes. The data is here: http://www.bettertogetherstl.com/studies/economic-development/tif-database . It was apparently extracted from a 2015 report here: http://dor.mo.gov/pdf/2015TIFAnnualReport.pdf . The locations are google mapped here: http://www.bettertogetherstl.com/tax-incremental-financing-map. Data with dates is here: https://worldmap.harvard.edu/data/geonode:stlcitif_0u1
The St. Louis County appears to have shapefiles with start dates here: https://worldmap.harvard.edu/data/geonode:slcounty_tif_aqt (but not sure if they cover the city too).
Philly
City of Philly Enterprise Zones:
Enterprise Zones - Data includes commercial and industrial zones, i.e. areas with specific federal enterprise zone designation meant to attract and support businesses in blighted areas. Blighted areas are defined as meeting one of seven city mandated criteria, including unsafe, unsanitary and inadequate conditions; economically or socially undesirable land use; and faulty street and lot layout. https://www.opendataphilly.org/dataset/enterprise-zones
Also Empowerment Zones. https://www.opendataphilly.org/dataset/empowerment-zones
Larimer County
Larimer County Colorado: https://www.larimer.org/assessor/tif (no data)
New Hampshire
New Hampshire report (2003) says that "some have GIS data" http://www.swrpc.org/files/data/com_econ_dev/ed/December%202003_%20TIF%20Handbook_7232010forweb.pdf We have Nashua, NH (max 14 active) in our data, but it isn't one that has GIS data.
Sherman, TX
Sherman, TX has GIS data without dates: https://koordinates.com/layer/16403-finance-tax-increment-finance-tif/
Cincinnati
Cincinnati has TIFs (http://choosecincy.com/Economic-Development/Programs-Services/Incentives-Financing/Tax-Increment-Financing.aspx) but no GIS data...
Michigan
Michigan as some state level data (not GIS) in summary somewhere because it is reference in this report: http://www.senate.michigan.gov/SFA/Publications/Notes/2016Notes/NotesWin16dk.pdf
Academic/Policy papers
A policy paper on the econ effects of TIFs https://projects.cberdata.org/reports/TifEconEffects-012815.pdf
Uploading TIF Data onto database (tigertest)
Command to upload KML file into a table in database (tigertest)
researcher@McNairDBServ:/bulk/tigertest$ ogr2ogr -f PostgreSQL PG:"dbname=tigertest" chicagotif.kml -nln chicagotif
(chicagotif.kml is the name of the KML file and chicagotif is the name I wish to name the table)
Command to upload SHP file into a table in database (tigertest)
researcher@McNairDBServ:/bulk/Jeemin/Dallas$ shp2pgsql -I "TIFDistrict.shp" dallastif | psql -U postgres -W -d tigertest
- Run this command in a folder with all files for the table, such as files of type .shp, .dbf, .shx, .cpg, and .prj
- "TIFDistrict.shp" is the name of the shapefile and dallstif is the name of the table I wish to name
- Will be prompted for a password after running inputting this command
To view all columns of a table
\d+ <tablename>
Cities & Tables
Chicago: Included
Table name: chicagotif
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
-------------+--------------------------+-----------+----------+---------------------------------------------+----------+--------------+-------------
ogc_fid | integer | | not null | nextval('chicagotif_ogc_fid_seq'::regclass) | plain | |
wkb_geometry | geometry(Geometry,4326) | | | | main | |
name | character varying | | | | extended | |
description | character varying | | | | extended | |
timestamp | timestamp with time zone | | | | plain | |
begin | timestamp with time zone | | | | plain | |
end | timestamp with time zone | | | | plain | |
altitudemode | character varying | | | | extended | |
tessellate | integer | | | | plain | |
extrude | integer | | | | plain | |
visibility | integer | | | | plain | |
draworder | integer | | | | plain | |
icon | character varying | | | | extended | |
name_trim | character varying | | | | extended | |
show | character varying | | | | extended | |
approval_d | character varying | | | | extended | |
ref | character varying | | | | extended | |
objectid | character varying | | | | extended | |
ind | character varying | | | | extended | |
repealed_d | character varying | | | | extended | |
comm_area | character varying | | | | extended | |
wards | character varying | | | | extended | |
shape_area | character varying | | | | extended | |
sbif | character varying | | | | extended | |
shape_len | character varying | | | | extended | |
type | character varying | | | | extended | |
expiration | character varying | | | | extended | |
use | character varying | | | | extended | |
pull columns: wkb_geometry, approval_d, expiration
Allegheny County, PA
Table name: alleghenycountytif
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
----------------+--------------------------+-----------+----------+-----------------------------------------------------+----------+--------------+-------------
ogc_fid | integer | | not null | nextval('alleghenycountytif_ogc_fid_seq'::regclass) | plain | |
wkb_geometry | geometry(Geometry,4326) | | | | main | |
name | character varying | | | | extended | |
description | character varying | | | | extended | |
timestamp | timestamp with time zone | | | | plain | |
begin | timestamp with time zone | | | | plain | |
end | timestamp with time zone | | | | plain | |
altitudemode | character varying | | | | extended | |
tessellate | integer | | | | plain | |
extrude | integer | | | | plain | |
visibility | integer | | | | plain | |
draworder | integer | | | | plain | |
icon | character varying | | | | extended | |
objectid | integer | | | | plain | |
terminationdate | character varying | | | | extended | |
effectivedate | character varying | | | | extended | |
sponsor | character varying | | | | extended | |
active | character varying | | | | extended | |
verified | character varying | | | | extended | |
notes | character varying | | | | extended | |
verified_date | character varying | | | | extended | |
Atlanta: Included
Table name: atlantatif
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
-------------+--------------------------+-----------+----------+---------------------------------------------+----------+--------------+-------------
ogc_fid | integer | | not null | nextval('atlantatif_ogc_fid_seq'::regclass) | plain | |
wkb_geometry | geometry(Geometry,4326) | | | | main | |
name | character varying | | | | extended | |
description | character varying | | | | extended | |
timestamp | timestamp with time zone | | | | plain | |
begin | timestamp with time zone | | | | plain | |
end | timestamp with time zone | | | | plain | |
altitudemode | character varying | | | | extended | |
tessellate | integer | | | | plain | |
extrude | integer | | | | plain | |
visibility | integer | | | | plain | |
draworder | integer | | | | plain | |
icon | character varying | | | | extended | |
objectid | integer | | | | plain | |
id | integer | | | | plain | |
area | integer | | | | plain | |
tad_name | character varying | | | | extended | |
start_ | character varying | | | | extended | |
status | character varying | | | | extended | |
shape_length | double precision | | | | plain | |
shape_area | double precision | | | | plain | |
pull columns: wkb_geometry, start_, (say that end is 2020)
Columbus, OH
Table name: columbustif
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
---------------+--------------------------+-----------+----------+----------------------------------------------+----------+--------------+-------------
ogc_fid | integer | | not null | nextval('columbustif_ogc_fid_seq'::regclass) | plain | |
wkb_geometry | geometry(Geometry,4326) | | | | main | |
name | character varying | | | | extended | |
description | character varying | | | | extended | |
timestamp | timestamp with time zone | | | | plain | |
begin | timestamp with time zone | | | | plain | |
end | timestamp with time zone | | | | plain | |
altitudemode | character varying | | | | extended | |
tessellate | integer | | | | plain | |
extrude | integer | | | | plain | |
visibility | integer | | | | plain | |
draworder | integer | | | | plain | |
icon | character varying | | | | extended | |
objectid | integer | | | | plain | |
fund_no | character varying | | | | extended | |
orc | character varying | | | | extended | |
ordinance | character varying | | | | extended | |
passage | character varying | | | | extended | |
agreement | character varying | | | | extended | |
dte_status | character varying | | | | extended | |
acres | double precision | | | | plain | |
url | character varying | | | | extended | |
last_edit_date | character varying | | | | extended | |
Washington, D.C.
Table name: dctif
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
-------------+--------------------------+-----------+----------+----------------------------------------+----------+--------------+-------------
ogc_fid | integer | | not null | nextval('dctif_ogc_fid_seq'::regclass) | plain | |
wkb_geometry | geometry(Geometry,4326) | | | | main | |
name | character varying | | | | extended | |
description | character varying | | | | extended | |
timestamp | timestamp with time zone | | | | plain | |
begin | timestamp with time zone | | | | plain | |
end | timestamp with time zone | | | | plain | |
altitudemode | character varying | | | | extended | |
tessellate | integer | | | | plain | |
extrude | integer | | | | plain | |
visibility | integer | | | | plain | |
draworder | integer | | | | plain | |
icon | character varying | | | | extended | |
objectid | integer | | | | plain | |
url | character varying | | | | extended | |
dc_code | character varying | | | | extended | |
type | character varying | | | | extended | |
gis_id | character varying | | | | extended | |
shape_length | double precision | | | | plain | |
shape_area | double precision | | | | plain | |
Dublin, OH: Included
Table name: dublintif
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------------+--------------------------+-----------+----------+--------------------------------------------+----------+--------------+-------------
ogc_fid | integer | | not null | nextval('dublintif_ogc_fid_seq'::regclass) | plain | |
wkb_geometry | geometry(Geometry,4326) | | | | main | |
name | character varying | | | | extended | |
description | character varying | | | | extended | |
timestamp | timestamp with time zone | | | | plain | |
begin | timestamp with time zone | | | | plain | |
end | timestamp with time zone | | | | plain | |
altitudemode | character varying | | | | extended | |
tessellate | integer | | | | plain | |
extrude | integer | | | | plain | |
visibility | integer | | | | plain | |
draworder | integer | | | | plain | |
icon | character varying | | | | extended | |
objectid | integer | | | | plain | |
tif_id | integer | | | | plain | |
tif_name | character varying | | | | extended | |
tif_type | character varying | | | | extended | |
ord_date | character varying | | | | extended | |
ord_num | character varying | | | | extended | |
ord_mod1 | character varying | | | | extended | |
ord_mod2 | character varying | | | | extended | |
ord_mod3 | character varying | | | | extended | |
pr_imp_st | character varying | | | | extended | |
pr_imp_val | integer | | | | plain | |
pub_imp_st | character varying | | | | extended | |
pub_imp_val | integer | | | | plain | |
num_jobs | integer | | | | plain | |
exp_date | integer | | | | plain | |
globalid | character varying | | | | extended | |
shapestarea | double precision | | | | plain | |
shapestlength | double precision | | | | plain | |
pull columns: wkb_geometry, ord_date, exp_date
Vermont
Table name: vermonttif
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------------+--------------------------+-----------+----------+---------------------------------------------+----------+--------------+-------------
ogc_fid | integer | | not null | nextval('vermonttif_ogc_fid_seq'::regclass) | plain | |
wkb_geometry | geometry(Geometry,4326) | | | | main | |
name | character varying | | | | extended | |
description | character varying | | | | extended | |
timestamp | timestamp with time zone | | | | plain | |
begin | timestamp with time zone | | | | plain | |
end | timestamp with time zone | | | | plain | |
altitudemode | character varying | | | | extended | |
tessellate | integer | | | | plain | |
extrude | integer | | | | plain | |
visibility | integer | | | | plain | |
draworder | integer | | | | plain | |
icon | character varying | | | | extended | |
objectid_1 | integer | | | | plain | |
status | character varying | | | | extended | |
tif | character varying | | | | extended | |
acresotv | double precision | | | | plain | |
parcels | integer | | | | plain | |
edtaxablev | integer | | | | plain | |
munitaxabl | integer | | | | plain | |
contactnam | character varying | | | | extended | |
contacttit | character varying | | | | extended | |
contacttel | character varying | | | | extended | |
contactema | character varying | | | | extended | |
stateconta | character varying | | | | extended | |
statetitle | character varying | | | | extended | |
statetelep | character varying | | | | extended | |
stateemail | character varying | | | | extended | |
datelastup | character varying | | | | extended | |
shapestarea | double precision | | | | plain | |
shapestlength | double precision | | | | plain | |
Dallas, TX: Included
Table name: dallastif
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
-----------+------------------------+-----------+----------+----------------------------------------+----------+--------------+-------------
gid | integer | | not null | nextval('dallastif_gid_seq'::regclass) | plain | |
cvttxdscrp | character varying(150) | | | | extended | |
nofore | bigint | | | | plain | |
noappl | bigint | | | | plain | |
nosale | bigint | | | | plain | |
sumasvlchg | numeric | | | | main | |
sumtxvlchg | numeric | | | | main | |
sumtxodchg | numeric | | | | main | |
lastupdate | date | | | | plain | |
cvttxcd | integer | | | | plain | |
name | character varying(150) | | | | extended | |
created_us | character varying(254) | | | | extended | |
created_da | date | | | | plain | |
last_edite | character varying(254) | | | | extended | |
last_edi_1 | date | | | | plain | |
shape_star | numeric | | | | main | |
shape_stle | numeric | | | | main | |
shape_area | numeric | | | | main | |
shape_len | numeric | | | | main | |
geom | geometry(MultiPolygon) | | | | main | |
pull columns: geom, created_da, (assume 2020 as end date)
Houston, TX
Table name: houstontif
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
-----------+------------------------+-----------+----------+-----------------------------------------+----------+--------------+-------------
gid | integer | | not null | nextval('houstontif_gid_seq'::regclass) | plain | |
perimeter | numeric | | | | main | |
name | character varying(25) | | | | extended | |
siteno | integer | | | | plain | |
cohgis_coh | numeric | | | | main | |
cohgis_c_1 | numeric | | | | main | |
shape_area | numeric | | | | main | |
shape_len | numeric | | | | main | |
geom | geometry(MultiPolygon) | | | | main | |
Newly Found Data
The following were found later and are yet to be reviewed:
- http://maps.vermont.gov/vcgi/html5viewer/?viewer=vtmapviewer
- Contains economic opportunity zones and data!
