This dataset contains FIPS (Federal Information Processing Standard), GNIS (Geographic Name Information System common) codes for identifying Washington state counties cities and towns. This is an official list from OFM (Office of Financial Management).

Unleash the potential of location-based analysis with this dataset of Indian cities. With over 4000 entries meticulously curated with city names, states, and precise latitude and longitude coordinates, uncover valuable insights into population distribution, urban development, and more.

List of cities, zip codes and counties in Missouri

Australia Cities Database

Below is a list of 1,035 prominent cities in Australia. Each row includes a city's latitude, longitude, state, population and other variables of interest. This is a subset of all 13,842 places in Australia (and only some of the fields) that you'll find in our World Cities Database. This data subset is released for free under an MIT license. Notable Cities: The capital of Australia is Canberra, which is in the territory of Australian Capital Territory. The largest city in Australia is Sydney, with an urban population of 5,312,163.

Data Source

Data is downloaded from https://simplemaps.com/data/world-cities, sbset of a major dataset that is included all cities of the world. You can find more on Simple Maps.

Inspiration

This data is useful to be joined to other datasets for Australia.

This is an Excel file with a list of New York City municipal buildings over 10,000 square feet by borough, block, lot, and agency, identifying each building’s energy intensity (kBtu/sq. ft.), Portfolio Manager benchmarking rating, where available, and the total GHG emissions for the calendar years 2010 & 2011.

Context

Simple Pakistani Cities Data, with latitude, longitude, population, Province. Below is a list of 146 prominent cities in Pakistan. Each row includes a city's latitude, longitude, province and other variables of interest. This is a subset of all 140,909 places in Pakistan (and only some of the fields) that you'll find in our World Cities Database.

Source

https://simplemaps.com/data/pk-cities

The list of communes of France contains 38 data allowing to identify the communes and to link the French communes with files from the Open Data, using the Insee code of the commune, or the postal code(s), codes of departments, regions, cantons or academy. The files also contain data on population, area, density, coordinates (of the town hall and geographical center), altitude (average, minimum and maximum) and various information. The simplified geography of the territory of the communes is present in the files marked "with geography" or "with polygon". The names of the cities are offered in 5 different formats (with or without article and/or preposition, in lower or upper case...). The municipalities of the overseas departments, regions and collectivities (DROM-COM) are included in the files but some data may be missing. ### Available file formats The files are available in csv, csv.gz and json on data.gouv.fr. Files in Excel (xlsx), Parquet (.parquet) and Feather (.feather) formats are not accepted on data.gouv.fr but are freely available on villedereve.fr/open-data-donnees-libres-sur-les-communes. ### Years Available The files are available for the years 2022, 2023, 2024 and 2025. The geographies used are those of year N-1 (e.g. 1 January 2024 for file 2025). The differences between the files from one year to the next mainly concern the population as well as administrative changes (groupings or deletions of municipalities, mainly). ### List of data available in files - insee_code: Common code, INSEE code, code assigned by INSEE to the municipality - standard_name: Standard name of the municipality, with its article (e.g.: Le Havre) - name_without_pronoun: Name of the municipality, without its article if applicable (e.g. Havre) - name_a: Name of the municipality, preceded by the preposition to, to or from and article of the municipality, if applicable (e.g.: Le Havre) - name of: Name of the municipality, preceded by the preposition of the municipality's article(s), if any (e.g. Le Havre) - name_without_accent: Name of the municipality without accent, special characters or spaces - Standard_name: Name of municipality in capital letters (e.g.: THE HAVRE) - typecom: Type of municipality in abbreviated version (COM, COMA, COMD, ARM) - typecom_text: Type of municipality in text version - reg_code: Region code assigned by INSEE to the region of the municipality - reg_name: Name of the region where the municipality is located - dep_code: Department code assigned by INSEE to the department of the commune - dep_nom: Name of the department where the municipality is located - canton_code: Canton code of the commune - canton_name: Name of the canton of the municipality - epci_code: EPCI code (public institutions of inter-municipal cooperation) assigned by INSEE to the region of the municipality - epci_name: Name of the EPCI where the municipality is located - postal_code: Main postal code of the municipality - postal_codes: Postal codes attached to the municipality - academie_code: Code of the academy of attachment of the schools of the commune - academie_nom: Name of the home academy - employment_zone: Area of use of the municipality, defined by INSEE - code_insee_centre_zone_emploi: INSEE code of the municipality centre of the area of employment - population: Municipal population - area_hectare: Area of the municipality, in hectare - area_km2: Area of the municipality, in km2 - density: Density of the municipality, inhabitant per km2 - average_altitude: Average altitude, m - minimum_altitude: Minimum altitude, m - maximum_altitude: Maximum altitude, m - latitude_mairie: Latitude of the town hall - longitude_mairie: Longitude of the town hall - latitude_centre: Latitude of the centroid of the communal territory - longitude_centre: Longitude of the centroid of the communal territory - densite_grid: Communal grid of density at 7 levels, according to INSEE - nice: Gentile (names of inhabitants) - url_wikipedia: URL of the wikipedia page of the municipality - url_villedereve: URL of the page City of dream of the municipality ### Data source - INSEE - geo.api.gouv.fr - Ministry of Education - La Poste

The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

Presentation Small towns of tomorrow aim to improve the living conditions of the inhabitants of small municipalities and surrounding areas, by accompanying communities on dynamic and environmentally friendly paths. The objective of the programme is to give elected representatives of cities and their intercommunalities of less than 20,000 inhabitants exercising central functions the means to implement their territorial projects. #### Data The dataset contains the list of selected municipalities for Small Cities of Tomorrow. | Name | Description | |---|---| | insee_com | Insee_com | Insee_com | lib_com | town label | | id_pvd | device identifier for the Small Cities of Tomorrow | An update of the Small Cities of Tomorrow identifiers is scheduled for October/November 2021**. It will reveal the contractual partnerships between the different municipalities. #### Useful Links — crossing with other ANCT devices (data.gouv) — detailed presentation of the programme (ANCT) — Opening the data file If you are using the Microsoft Excel spreadsheet, a particular operation is required to open the data file: 1. Create a new Excel workbook 2. Click on the **Data tab located in the ribbon and then click from the text 3. Choose the location of the csv file and click Importer 4. In the window that opens, choose the option Delimited and in File Origin, choose 65001: Unicode UTF8. Click on Next 5. Select only the Separator Virgule. Click on Next 6. Choose the right column data format by referring to the dataset documentation. Click Finish.

Presentation Action cœur de ville fulfils a dual ambition: improve the living conditions of the inhabitants of medium-sized towns and strengthen the role of these towns as a driving force in the development of the territory. Developed in consultation with local elected representatives and economic stakeholders, the Heart of the City Action Plan aims to facilitate and support the work of local authorities, encourage housing and urban planning stakeholders to reinvest in city centres, promote the maintenance or establishment of activities in the heart of the city in order to improve living conditions in medium-sized cities. #### Data The dataset contains the list of selected municipalities for the Heart of the City Action programme. For the description of the fields, refer to the metadata file in the documentation below. #### Useful links - Crossover with other ANCT devices (data.gouv) - Detailed presentation of the programme (ANCT) --- Open data file If you are using the Microsoft Excel spreadsheet, a special operation is required to open the data file: 1. Create a new Excel workbook 2. Click on the Data tab located in the ribbon and then on From text 3. Choose the location of the csv file and click Import 4. In the window that opens, choose the Delimited option and in File origin, choose 65001: Unicode UTF8. Click on Next 5. Select only the Virgule Separator. Click on Next 6. Choose the right column data format by referring to the dataset documentation. Click Finish.

Statistics on towns and cities in England and Wales with a focus on housing and deprivation.

Vermont Municipalities

Presentation Extended until 2026, the Action cœur de ville programme run by the ANCT now includes a scheme for requalification of city entrances. These spaces are often criticised for their lack of vision of overall development, of articulation with city centres, their sprawl and even their visual pollution. #### Data The dataset contains the list of voluntary municipalities for the City Entries device. For the description of the fields, refer to the metadata file in the documentation below. #### Useful links - Crossover with other ANCT devices (data.gouv) - Detailed presentation of the provision (ANCT) --- Open data file If you are using the Microsoft Excel spreadsheet, a special operation is required to open the data file: 1. Create a new Excel workbook 2. Click on the Data tab located in the ribbon and then on From text 3. Choose the location of the csv file and click Import 4. In the window that opens, choose the Delimited option and in File origin, choose 65001: Unicode UTF8. Click on Next 5. Select only the Virgule Separator. Click on Next 6. Choose the right column data format by referring to the dataset documentation. Click Finish.

This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

Data Owner: Business Affairs and Consumer Protection

Time Period: Current

Frequency: Data is updated daily

Includes Maryland Zip Codes and their corresponding cities/towns, and counties.

The Delta Neighborhood Physical Activity Study was an observational study designed to assess characteristics of neighborhood built environments associated with physical activity. It was an ancillary study to the Delta Healthy Sprouts Project and therefore included towns and neighborhoods in which Delta Healthy Sprouts participants resided. The 12 towns were located in the Lower Mississippi Delta region of Mississippi. Data were collected via electronic surveys between August 2016 and September 2017 using the Rural Active Living Assessment (RALA) tools and the Community Park Audit Tool (CPAT). Scale scores for the RALA Programs and Policies Assessment and the Town-Wide Assessment were computed using the scoring algorithms provided for these tools via SAS software programming. The Street Segment Assessment and CPAT do not have associated scoring algorithms and therefore no scores are provided for them. Because the towns were not randomly selected and the sample size is small, the data may not be generalizable to all rural towns in the Lower Mississippi Delta region of Mississippi. Dataset one contains data collected with the RALA Programs and Policies Assessment (PPA) tool. Dataset two contains data collected with the RALA Town-Wide Assessment (TWA) tool. Dataset three contains data collected with the RALA Street Segment Assessment (SSA) tool. Dataset four contains data collected with the Community Park Audit Tool (CPAT). [Note : title changed 9/4/2020 to reflect study name] Resources in this dataset:Resource Title: Dataset One RALA PPA Data Dictionary. File Name: RALA PPA Data Dictionary.csvResource Description: Data dictionary for dataset one collected using the RALA PPA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Two RALA TWA Data Dictionary. File Name: RALA TWA Data Dictionary.csvResource Description: Data dictionary for dataset two collected using the RALA TWA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Three RALA SSA Data Dictionary. File Name: RALA SSA Data Dictionary.csvResource Description: Data dictionary for dataset three collected using the RALA SSA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Four CPAT Data Dictionary. File Name: CPAT Data Dictionary.csvResource Description: Data dictionary for dataset four collected using the CPAT.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset One RALA PPA. File Name: RALA PPA Data.csvResource Description: Data collected using the RALA PPA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Two RALA TWA. File Name: RALA TWA Data.csvResource Description: Data collected using the RALA TWA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Three RALA SSA. File Name: RALA SSA Data.csvResource Description: Data collected using the RALA SSA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Four CPAT. File Name: CPAT Data.csvResource Description: Data collected using the CPAT.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Data Dictionary. File Name: DataDictionary_RALA_PPA_SSA_TWA_CPAT.csvResource Description: This is a combined data dictionary from each of the 4 dataset files in this set.

Download Employee Vehicle Personal Use Excel SheetThis dataset lists the employee name and taxable benefit for personal use of City of Greater Sudbury Vehicle as travel expenses for the year 2020. Expenses are broken down in separate tabs by Quarter (Q1, Q2, Q3 and Q4). Data for other years is available in separate datasets. Updated quarterly when expenses are prepared.

Presentation Launched in 2014, the new National Urban Renewal Programme (NPNRU) covers 480 priority neighbourhoods: 216 of national interest and 264 of regional interest, where about three million inhabitants live. This programme covers neighborhoods of large metropolises, medium-sized cities, large social housing complexes or buildings in old degraded centres, located in France and overseas. The National Agency for Urban Renewal (Anru), responsible for the implementation of the NPNRU, now has EUR 10 billion for the financial support of projects presented by local authorities. In total, 40 billion euros will be invested in these 480 neighbourhoods for demolition and reconstruction of social housing, the development of public spaces or the treatment of degraded condominiums. The list of priority districts benefiting from this programme is annexed to the Order of 29 April 2015 on the list of priority districts of the city policy with the most important urban dysfunctions and targeted as a priority by the new National Urban Renewal Programme and to the Order of 15 January 2019 correcting the list of priority districts of the city policy with the most important urban dysfunctions and referred to as complementary by the new National Urban Renewal Programme. ### Data The dataset contains: — the list of municipalities covered by the programme — the list of priority districts registered according to the decrees #### Useful links — Detailed presentation of the programme (Anru) — Open Data File If you are using the Microsoft Excel spreadsheet, a particular operation is required to open the data file: 1. Create a new Excel workbook 2. Click on the Data tab in the ribbon and then on From text 3. Choose the location of the csv file and click on Import 4. In the window that opens, choose the option Delimited and in File Origin, choose 65001: Unicode UTF8. Click on Next 5. Select only the Separator Virgul. Click on Next 6. Choose the right column data format by referring to the documentation of the dataset. Click on Finish.

This dataset provides detailed information about the population of all the 300 US Cities for the years 2024 and 2020. It includes the annual population change, population density, and the area of all the US cities.

India Pin/Zip Code (City, Area, District, State) Contain pincode/zipcode with city, area, district, state information Source: India post gov in website