The original data was brought into an updated schema that mimics the 2022 database. The original data had different factors, as it was a pilot project.Austin Area Zipcode Analysis of multiple factors:Median Household Income <$50,000 = 550-65,000 = 465-83,000 = 383-110,000 = 2>110,000 = 1Child Population Under 50%-2% = 12%-4% = 24%-6% = 36%-8% = 48%-11% = 5Child Population 5-190%-5% = 15%-10% = 210%-20% = 320%-40% = 440%-60% = 5Inverse Tree Canopy0% - 24% = 0 (all/mostly trees)25% - 49% = 150% - 74% = 275% - 99% = 3100% = 4 (no trees)Waterways (Creeks)0% - 0.5% = 50.6% - 1% = 42% - 3% = 34% - 6% = 27% - 17%= 1Parkland/Open Space0% - 1% = 52% - 4% = 45% - 6% = 37% - 17% = 218% - 38%= 1Disadvantaged data was not available to 2016Total Factor11-1415-1819-2223-2627-29

All regional statistics at Eurostat refer to NUTS. However, some data collections use postcodes to reference the geographic location. Therefore, Eurostat has established a link between postcodes and NUTS level 3 codes in order to exploit information which originally is coded only by postcodes. Various projects in Eurostat and other services of the Commission as well as the European Investment Bank have expressed their need for a link between postcodes and NUTS codes. The most important application at Eurostat is in transport statistics where the information is used to identify the flows of goods transport on roads. Another application is to geo-code address registers with the regional NUTS codes because postcodes are generally available as part of the address. The TERCET NUTS-postal codes matching tables contain a lookup-list of European postal codes and their corresponding NUTS codes for the NUTS versions 2010, 2013, 2016 and 2021. There are matching tables for most of the EU, Candidate, EFTA and the United Kingdom. Eurostat has applied a number of quality assurance measures to ensure the best possible quality of the data including formatting checks, checks for completeness of postal codes and checks for spatial accuracy of the geocoding. Additional tables containing distance matrixes for different modes of transport are provided. Nevertheless, due to the very diverse and complex situation in Europe for postal codes data we cannot guarantee that all postal codes are included and have been correctly matched. Should you detect any errors, we would be grateful if you could notify them to us at ESTAT-USER-SUPPORT@ec.europa.eu. The matching tables have been created with data and tools that allow for their free and public distribution for statistical and other non-commercial purposes. More information on quality assurance and data sources can be found in the methodological notes. KNOWN ISSUES FOR NUTS (as of 15/07/2020) Malta has only higher level Postal districts Data for CY has gaps for NUTS 2021, GISCO is working on improving the coverage. * Data for Albania and Montenegro are missing, GISCO is looking into improving the coverage.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

UK Postcode Directory

Geocode UK Postcodes & Identify Geographical Hierarchies

By GetTheData [source]

About this dataset

This Open Postcode Geo dataset contains a wealth of information about UK postcodes. For each postcode, there are several geospace attributes you can use to refine your analysis such as latitude, longitude, easting and northing. Moreover, the positional quality indicator provides a range of accuracy levels for each geospace attribute.

In addition to positioning data, this dataset has been derived from the Office for National Statistics' Postcode Directory which gives users extra insights into postcodes such as postcode areas, districts and sectors — enabling them to accurately group records into geographic hierarchies: perfect for mapping applications and statistical analysis!

And with data coming from multiple sources — The Crown Copyright & Database Right (2016), Royal Mail Copyright & Database Right (2016) & ONS ™ - users can be assured that Open Postcode Geo provides accurate and up-to-date results that cover terminated archives as well as smaller user-generated postcodes! All released under the UK Government's Open Government Licence v3; with attribution required pursuant to ONS Licences info... Now you too have access to powerful spatial information about the United Kingdom; helping you gain unparalleled insight in record time

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Research Ideas

• Use this dataset to combine with other datasets to accurately geocode addresses in a variety of formats, such as full postcodes or postcodes with only one digit missing.
• Utilise the different hierarchy levels including postcode area, district and sector for data visualization and analysis on census data collected by specific area in the UK.
• Feed this dataset into a route optimization algorithm so delivery routes can be quickly optimized between different locations using accurate lat-long coordinates from each address

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: open_postcode_geo.csv | Column name | Description | |:---------------|:------------------------------| | AB1 0AA | Postcode (String) | | terminated | Terminated postcode (String) | | small | Small postcode (String) | | 385386 | Easting coordinate (Integer) | | 801193 | Northing coordinate (Integer) | | Scotland | Country name (String) | | 57.101474 | Latitude coordinate (Float) | | -2.242851 | Longitude coordinate (Float) | | AB10AA | Postcode area (String) | | AB1 0AA.1 | Postcode district (String) | | AB1 0AA | Postcode sector (String) | | AB1.1 | Postcode area (String) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit GetTheData.