Traffic analytics, rankings, and competitive metrics for carto.com as of September 2025

Extract from the Quarterly Census of Emploment and Wages (QCEW). More info available at: https://www.bls.gov/cew/downloadable-data-files.htm

ESRI Curated Zipcodes were clipped by the most recent version of the Dallas City Limits. These Zipcodes are being used in applications and maps for different purposes. Any time a Zipcode is the desired analysis geometry. However, zipcodes are NOT optimal for analysis, but should be used carefully.More data below:Zipcodes are an approximation of delivery routes from the Postal Service. There is not an authoritative GIS layer for Postal Zipcodes, but an approximation at best. Numerous articles exist. One is here: https://carto.com/blog/zip-codes-spatial-analysis/ explaining the reason why zipcodes are not good for geospatial analysis.

This service provides users with the number of Covid-19 cases in each zip code within the City of Dallas. It is a view only service that provides the public with the data in a secure way. This service is no longer being updated and is provided for historical purposes. It was last updated on February 23, 2023. More data below:Zip codes are an approximation of delivery routes from the US Postal Service. There is not an authoritative GIS layer for US Postal zip codes, but an approximation at best. Numerous articles exist. One is here: https://carto.com/blog/zip-codes-spatial-analysis/ explaining the reason why zip codes are not good for geospatial analysis.

This represents all service and information requests since December 8th, 2014 submitted to Philly311 via the 311 mobile application, calls, walk-ins, emails, the 311 website or social media. Please note that this is a very large dataset. Unless you are comfortable working with APIs, we recommend using the visualization to explore the data. If you are comfortable with APIs, you can also use the API links to access this data. You can learn more about how to use the API at Carto’s SQL API site and in the CARTO guide in the section on making calls to the API.**

No abstract provided

Distritos_Lima_And_Callao_Callao_Formatted_For_Carto)
This dataset falls under the category Planning & Policy – Planning.
It contains the following data: Districts of Lima and Callao Boundaries in geojson format, there is not much information from the author.. The data can be accessed using the following URL / API Endpoint: https://properati-datos.carto.com/tables/distritos_lima_y_callao_formatted_for_carto/public
This dataset was scouted on 2022-02-27 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. See URL for data access and license information. Please note: This link leads to an external resource. If you experience any issues with its availability, please try again later.

United States population in group quarters by area.

A mask "cutout" of the park footprint used to create a masking effect in cartographic applications (desktop and web).he corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park Cartographic Mask.

Distribution of the total sales index and number of transactions index by a segmentation of merchant classes contained within the retail area

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Provides Seattle Fire Department 911 dispatches. Updated every 10 minutes.

Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic data and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop and OpenStreetMap. The current version of this product is available in two different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km) and Quadgrid level 18 (with cells of approximately 100x100m).

Dedicated to map and road applications at the regional level, ROUTE 500® historically offered the description of the classified road network. It now corresponds to the road network of the CARTO® BD. The 2021 edition will be the last. Text Route 500® was the road database describing 500.000 km of roads from the classified network (motorways, nationals, departmental) and cladding elements at national and regional scales. Since the 2019 edition, ROUTE 500® corresponds to the road network of the CARTO® BD. Route 500® allows you to locate any thematic information, analyse statistical data and manage road trips.

The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY.

This newsletter is intended to serve you, our Audubon network, with the latest information on what is happening with the GIS team, projects across the entire network that are employing GIS, and tips & tricks on tools and workflows. As you may have noticed, we have upgraded the style of our newsletter. From now on, the newsletters will be released on a quarterly basis instead of monthly. We hope this new format will be more intuitive for readers and are excited to share all the fun updates we have in store!

A series of buffers around the park footprint used to create a "fade" effect in cartographic applications (desktop and web).The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park Cartographic Fading Buffer.

The CARTO® BD version 3.2 is the reference map database. Used on the departmental scale (1: 50 000e) regionally (1: 250 000e), it describes all the information present on the metropolitan territory and the overseas departments. The different themes are: ADMINISTRATIVE; EQUIPMENT; DRESSING; HYDROGRAPHY; RESEAU_FERRE; RESEAU_ROUTIER; TOPONYMY.

Contains data from CARTO.CTYLIMIT.