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

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.**

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 This service is no longer being updated and is provided for historical purposes.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.

No abstract provided

Part 1 out of 4 For more information, see: http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ Estimated rates of child poverty from 2016 and 2018 on the level of child poverty in each constituency, local authority and ward in the UK before and after housing costs. Data is split across 26 xlsx files. For more information, visit http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ and https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map Visualisations on % children living in poverty can be found here: https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map Estimated rates of child poverty from 2016 and 2018 on the level of child poverty in each constituency, local authority and ward in the UK before and after housing costs. Data is split across 26 xlsx files. For more information, visit http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ and https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map

United States population in group quarters by area.

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!

The global spatial location services market is experiencing robust growth, driven by increasing demand for precise location intelligence across diverse sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors. Firstly, the proliferation of smart devices and the Internet of Things (IoT) is generating massive location data, which fuels the need for sophisticated spatial analysis and location-based services. Secondly, advancements in technologies like GPS, GIS, and machine learning are enhancing the accuracy and capabilities of location services, enabling innovative applications in various industries. Thirdly, the growing adoption of location-based marketing and advertising strategies is creating lucrative opportunities for businesses to engage with customers more effectively. Finally, government initiatives focusing on infrastructure development and smart city projects are further propelling market growth. The market is segmented by application (commercial, municipal, military, others) and type (indoor, outdoor positioning). Commercial applications currently dominate, but the municipal and military segments are expected to witness significant growth in the coming years due to increasing investments in smart city infrastructure and defense modernization programs. The competitive landscape is characterized by a mix of established technology providers, GIS specialists, and consulting firms. Major players like Google Cloud, Oracle, IBM, and HERE Technologies are leveraging their extensive data resources and technological expertise to gain a strong foothold. However, smaller, specialized firms are also thriving by offering niche solutions and innovative applications. Regional variations exist, with North America and Europe currently dominating the market due to higher technology adoption rates and well-established infrastructure. However, the Asia-Pacific region is poised for rapid expansion, driven by increasing smartphone penetration and government support for digitalization initiatives. The market faces challenges such as data privacy concerns, cybersecurity risks, and the need for seamless integration of diverse location data sources. Nevertheless, the overall outlook remains highly positive, indicating substantial growth potential for spatial location services in the years to come.

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

The Cloud GIS market is experiencing robust growth, projected to reach $1513.8 million in 2025 and expanding at a Compound Annual Growth Rate (CAGR) of 17.2% from 2025 to 2033. This significant expansion is driven by several key factors. The increasing adoption of cloud computing across various industries, coupled with the need for enhanced data accessibility and collaboration, is fueling demand for cloud-based Geographic Information Systems (GIS). Businesses are leveraging cloud GIS for improved operational efficiency, cost savings through reduced infrastructure needs, and streamlined data management. Furthermore, advancements in cloud-based GIS technologies, including enhanced analytical capabilities and integration with other enterprise systems, are contributing to market expansion. The accessibility and scalability offered by cloud platforms are proving particularly attractive to smaller businesses and organizations that previously lacked the resources to implement sophisticated GIS solutions. Competitive players like ESRI, Google Maps, Bing Maps, and others are continually innovating, introducing user-friendly interfaces and powerful analytics tools that further accelerate market adoption. The market segmentation reveals a dynamic landscape, with various industries utilizing cloud GIS for specific applications. While precise segment data is unavailable, we can infer strong growth in sectors like urban planning, environmental monitoring, and resource management, driven by the need for real-time data analysis and collaborative decision-making. Geographic variations in adoption rates are expected, with North America and Europe likely maintaining leading positions due to advanced technological infrastructure and early adoption. However, emerging economies in Asia and Latin America are expected to witness significant growth in the coming years as cloud infrastructure develops and awareness of cloud GIS benefits increases. While potential restraints such as data security concerns and internet connectivity challenges exist, the overall market outlook remains strongly positive, supported by continuous technological advancements and increasing industry adoption.

Discover the worldwide distribution of the Carto surname. Present in 24 countries with 580 registered people.

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 and environmental data, and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop, OpenStreetMap, Nasa and Worldclim. The current version of this product is available in three different spatial aggregations: Quadgrid level 15 (with cells of approximately 1x1km), Quadgrid level 18 (with cells of approximately 100x100m) and H3 resolution 8 (hexagon cells of approximately 0.7 sqkm).

Check out the Crime Maps and Stats Application, an online application that displays summary statistics and enables mapping of recent incidents within a radius of an address. Also see this Crime Incidents Visualization.View metadata for key information about this dataset.Part I crimes include violent offenses such as aggravated assault, rape, arson, among others. Part II crimes include simple assault, prostitution, gambling, fraud, and other non-violent offenses.Please note that this is a very large dataset. To see all incidents, download all datasets for all years.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.For questions about this dataset, contact publicsafetygis@phila.gov. For technical assistance, email maps@phila.gov.

[Keywords] Market include AVUXI, Pitney Bowes, Alteryx, CARTO, Esri

Geographic Insights validate, evaluate and benchmark the sales-based dynamics of a location measuring sales, transactions, average ticket size , number of accounts, etc. happening in a retail area on a specific period in time. The indices combine the location of merchants and the date, time and amount of the transactions to create a “timeseries of data”. The indices are aggregated, anonymized and normalized at all levels of the geographic hierarchy.

Crime incidents from the Philadelphia Police Department. Part I crimes include violent offenses such as aggravated assault, rape, arson, among others. Part II crimes include simple assault, prostitution, gambling, fraud, and other non-violent offenses. Please note that this is a very large dataset. To see all incidents, download all datasets for all years. 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.

Attention new flow URL carto.ain.fr becomes geodata.ain.fr Scope of jurisdiction of the territories of the DGAS. They come in replacement of the old perimeters of the Houses of Solidarity (MDS) to count from December 2, 2019. The eastern part of the department given its mountainous geography is subdivided into 3 with a functioning of the Departmental Centers of Solidarity (CDS) in binomial. * Bresse Revermont -> Townhouse in Bourg-en-Bresse * Val de Saône Dombes -> Townhouse in Chatillon-sur-Chalaronne * Plaine de l'Ain Côtière -> Maison de Territoire in Ambérieu-en-Bugey * East -> Direction to Nantua No public reception in Territorial Houses.

La BD CARTO® version 3.2 est la base de données cartographiques de référence. Utilisée de l'échelle départementale (1 : 50 000e) à l'échelle régionale (1 : 250 000e), elle décrit l'ensemble des informations présentes sur le territoire métropolitain et les départements d'outre-mer. Les différents thèmes sont : ADMINISTRATIF ; EQUIPEMENT ; HABILLAGE ; HYDROGRAPHIE ; RESEAU_FERRE ; RESEAU_ROUTIER ; TOPONYMIE.

Explore the historical Whois records related to carto.online (Domain). Get insights into ownership history and changes over time.