Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company DATACITY-COMUNICACIONES-S.L.

CityData

This is the CityData dataset of 13 existing cities used in our CityBench research. Please follow the steps below to use it:

Download the zip file and unzip it. Place the extracted citydata folder under the CityBench directory.

  CityBench

Repository: https://github.com/tsinghua-fib-lab/CityBench Paper: https://arxiv.org/abs/2406.13945

  Citation

If you find this work helpful, please cite our paper. @article{Feng2025CityBench, title={CityBench:… See the full description on the dataset page: https://huggingface.co/datasets/Tianhui-Liu/CityBench-CityData.

Data from the following digital consultation campaign: "DataCity Paris: how to use data to resolve urban issues?"

The consultation was open to Madam Mayor, I have an idea! from October 1 to November 6, 2017.

Paris City Hall, in partnership with NUMA, is putting its data at the service of its environmental, social and economic objectives, as part of the third edition of DataCity Paris, an open and multi-partner innovation program.

DataCity brought together large companies, startups and the City of Paris in order to find viable and concrete solutions to the challenges of the city of tomorrow based on optimization and use of urban data.

At the heart of the challenge definition phase, the City of Paris and the partners wanted to share their first ideas and gather the opinions of Parisians in order to better understand which fields of action seem most relevant.

CN: Real Estate Industry: 35 City: Total Profit data was reported at 815,585.480 RMB mn in 2017. This records an increase from the previous number of 641,918.680 RMB mn for 2016. CN: Real Estate Industry: 35 City: Total Profit data is updated yearly, averaging 233,836.660 RMB mn from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 815,585.480 RMB mn in 2017 and a record low of -1,515.960 RMB mn in 1999. CN: Real Estate Industry: 35 City: Total Profit data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKE: Real Estate Enterprise Financial Data: City.

Local Law 14 (2016) requires that the NYCDOE provide citywide health education data, disaggregated by community school district, city council district ad each individual school. Reports city council district level data on the number of students that received a semester (one credit) of health instruction, as well as the number of June & August graduates meeting the HS health requirements for the 2015-16 school year. Note students are not required to receive health instruction at any particular grade level in high school, only prior to graduating. Values less than 100% do not necessarily imply that students graduated without meeting credit requirements. These values may indicate missing or incomplete historical transcript data.

The datasets are split by census block, cities, counties, districts, provinces, and states. The typical dataset includes the below fields.

Column numbers, Data attribute, Description 1, device_id, hashed anonymized unique id per moving device 2, origin_geoid, geohash id of the origin grid cell 3, destination_geoid, geohash id of the destination grid cell 4, origin_lat, origin latitude with 4-to-5 decimal precision 5, origin_long, origin longitude with 4-to-5 decimal precision 6, destination_lat, destination latitude with 5-to-6 decimal precision 7, destination_lon, destination longitude with 5-to-6 decimal precision 8, start_timestamp, start timestamp / local time 9, end_timestamp, end timestamp / local time 10, origin_shape_zone, customer provided origin shape id, zone or census block id 11, destination_shape_zone, customer provided destination shape id, zone or census block id 12, trip_distance, inferred distance traveled in meters, as the crow flies 13, trip_duration, inferred duration of the trip in seconds 14, trip_speed, inferred speed of the trip in meters per second 15, hour_of_day, hour of day of trip start (0-23) 16, time_period, time period of trip start (morning, afternoon, evening, night) 17, day_of_week, day of week of trip start(mon, tue, wed, thu, fri, sat, sun) 18, year, year of trip start 19, iso_week, iso week of the trip 20, iso_week_start_date, start date of the iso week 21, iso_week_end_date, end date of the iso week 22, travel_mode, mode of travel (walking, driving, bicycling, etc) 23, trip_event, trip or segment events (start, route, end, start-end) 24, trip_id, trip identifier (unique for each batch of results) 25, origin_city_block_id, census block id for the trip origin point 26, destination_city_block_id, census block id for the trip destination point 27, origin_city_block_name, census block name for the trip origin point 28, destination_city_block_name, census block name for the trip destination point 29, trip_scaled_ratio, ratio used to scale up each trip, for example, a trip_scaled_ratio value of 10 means that 1 original trip was scaled up to 10 trips 30, route_geojson, geojson line representing trip route trajectory or geometry

The datasets can be processed and enhanced to also include places, POI visitation patterns, hour-of-day patterns, weekday patterns, weekend patterns, dwell time inferences, and macro movement trends.

The dataset is delivered as gzipped CSV archive files that are uploaded to your AWS s3 bucket upon request.

Terrain data, as defined in FEMA Guidelines and Specifications, Appendix N: Data Capture Standards, describe the digital topographic data that were used to create the elevation data representing the terrain environment of a watershed and/or floodplain. Terrain data requirements allow for flexibility in the types of information provided as sources used to produce final terrain deliverables. Once this type of data is provided, FEMA will be able to account for the origins of the flood study elevation data.(Source: FEMA Guidelines and Specifications, Appendix N, Section N.1.2)

This dataset lists key population figures since 2012 for the city of Saint-Paul-lès-Dax. It consists of an annual survey of the various data. These data are derived from INSEE data and the civil status of the city of Saint-Paul-lès-Dax.

“’ Topics: Administration and public action Keywords: Citizenship, Insee, Population, Census, Statistics Update of data: Annual “’

China Real Estate Industry: 35 City: Revenue data was reported at 5,040,323.120 RMB mn in 2017. This records an increase from the previous number of 4,782,376.080 RMB mn for 2016. China Real Estate Industry: 35 City: Revenue data is updated yearly, averaging 810,756.060 RMB mn from Dec 1988 (Median) to 2017, with 30 observations. The data reached an all-time high of 5,040,323.120 RMB mn in 2017 and a record low of 16,212.340 RMB mn in 1988. China Real Estate Industry: 35 City: Revenue data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKE: Real Estate Enterprise Financial Data: City.

China Real Estate Industry: 35 City: Revenue: Other Revenue data was reported at 202,408.990 RMB mn in 2017. This records an increase from the previous number of 163,668.420 RMB mn for 2016. China Real Estate Industry: 35 City: Revenue: Other Revenue data is updated yearly, averaging 55,093.835 RMB mn from Dec 1988 (Median) to 2017, with 30 observations. The data reached an all-time high of 202,408.990 RMB mn in 2017 and a record low of 590.630 RMB mn in 1990. China Real Estate Industry: 35 City: Revenue: Other Revenue data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKE: Real Estate Enterprise Financial Data: City.

China Real Estate Industry: 35 City: Total Asset data was reported at 44,173,419.510 RMB mn in 2017. This records an increase from the previous number of 38,553,665.940 RMB mn for 2016. China Real Estate Industry: 35 City: Total Asset data is updated yearly, averaging 7,828,829.570 RMB mn from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 44,173,419.510 RMB mn in 2017 and a record low of 1,641,695.970 RMB mn in 1997. China Real Estate Industry: 35 City: Total Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKE: Real Estate Enterprise Financial Data: City.

Analysis of ‘2015-16 Health Education HS Data - City Council District’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/b0509ca4-f6a5-4def-a992-64710eef5640 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Local Law 14 (2016) requires that the NYCDOE provide citywide health education data, disaggregated by community school district, city council district ad each individual school. Reports city council district level data on the number of students that received a semester (one credit) of health instruction, as well as the number of June & August graduates meeting the HS health requirements for the 2015-16 school year. Note students are not required to receive health instruction at any particular grade level in high school, only prior to graduating. Values less than 100% do not necessarily imply that students graduated without meeting credit requirements. These values may indicate missing or incomplete historical transcript data.

--- Original source retains full ownership of the source dataset ---

This dataset is named AVDATA-BR-CP, with the "CP" suffix denoting a collection of Brazilian aviation data organized by domestic city pairs in Brazil ("CP" stands for "city pairs"), updated on a monthly basis. The primary source of this data is the National Civil Aviation Agency (ANAC). The data and variables used are described in Oliveira, A. V. M. (2024), in the paper titled "AVDATABR: An Open Database for Brazilian Air Transport", published in Communications in Airline Economics Research, volume 1, article 10671652, available at https://zenodo.org/doi/10.5281/zenodo.10671652.

This filtered view groups and sums parent dataset by Race (Not Hispanic or Latino) and Year (2022) and shows the count and percentage of city resident race. This information is used by the "City Employee vs. Community Demographics: Ethnicity" filtered view at https://citydata.mesaaz.gov/Diversity/Chart-Data-for-City-Employee-vs-Community-Demograp/bt2n-zimw

Excel version, with manual describing the data. This dataset is named AVDATA-BR-CP, with the "CP" suffix denoting a collection of Brazilian aviation data organized by domestic city pairs in Brazil ("CP" stands for "city pairs"), updated on a monthly basis. The primary source of this data is the National Civil Aviation Agency (ANAC). The data and variables used are described in Oliveira, A. V. M. (2024), in the paper titled "AVDATABR: An Open Database for Brazilian Air Transport", published in Communications in Airline Economics Research, volume 1, article 10671652, available at https://zenodo.org/doi/10.5281/zenodo.10671652.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Sample statistics of city-level variables (n = 289).

City of Beaumont Open Data - City Limits Boundary

Comparing the percentage of employee race to the percentage of city resident race. Employee information comes from Employee Demographics: Ethnicity https://citydata.mesaaz.gov/Human-Resources/Employee-Demographics-Ethnicity/6kd3-uaks. Community information comes from Community Demographics: Race: https://citydata.mesaaz.gov/Diversity/Community-Demographics-Race/xaqj-9vxh/data

This transformed view of Employee Demographics - Public dataset counts the number of and percentage of city employees by race as self-reported by employee based on EEOC classification. This information is used by "City Employee vs. Community Demographics dataset" at https://citydata.mesaaz.gov/Economic-Development/Chart-Data-for-City-Employee-vs-Community-Demograp/bt2n-zimw