In a survey conducted among adult Americans who shared their location online with at least one person, it was found that the majority shared location with ***************. Meanwhile, individuals ****************** were the age group mostly sharing their location with only one person. Furthermore, ******************* all respondents shared a location with two people.

Dataset

This dataset was created by Khiết Thanh Nguyễn Phan

Contents

The graph presents the number of people with health insurance in the United States from 2013 to 2023. The x-axis represents the years, ranging from 2013 to 2023, while the y-axis shows the number of insured individuals in millions. Throughout this period, the number of people with health insurance rose from approximately 271.6 million in 2013 to 305 million in 2023, marking the lowest value in 2013 and the highest in 2023. The data exhibits a steady upward trend in health insurance coverage over the ten-year span. This information is depicted in a line graph, effectively highlighting the annual increase in the insured population.

Number of People living in an Area by County

This dataset presents the number of people with disabilities registered at disability centers in Qatar, categorized by nationality, gender, and center. It provides insights into the distribution of individuals served by each center and supports planning and resource allocation across institutions.

This data set is added for convenience.

Data is provided in h5 files that contains images and labels.

Images corresponds to original frames.

Labels are density maps based on objects positions in each frame.

Density maps were scaled to 100 * number of objects to make the network learn better.

Density maps were produced by applying a convolution with a Gaussian kernel.

Order of frames is maintained and dataset is split into (1500) frames for training and (500) frames for validation.

Script used to generate this dataset can be found in this github repo: https://github.com/NeuroSYS-pl/objects_counting_dmap

Official link: https://personal.ie.cuhk.edu.hk/~ccloy/downloads_mall_dataset.html

Details The mall dataset was collected from a publicly accessible webcam for crowd counting and profiling research.

Ground truth: Over 60,000 pedestrians were labelled in 2000 video frames. Data is annotated exhaustively by labeling the head position of every pedestrian in all frames.

Video length: 2000 frames Frame size: 640x480 Frame rate: < 2 Hz

The dataset is intended for research purposes only and as such cannot be used commercially. Please cite the following publication(s) when this dataset is used in any academic and research reports.

References From Semi-Supervised to Transfer Counting of Crowds C. C. Loy, S. Gong, and T. Xiang in Proceedings of IEEE International Conference on Computer Vision, pp. 2256-2263, 2013 (ICCV)

Cumulative Attribute Space for Age and Crowd Density Estimation K. Chen, S. Gong, T. Xiang, and C. C. Loy in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2467-2474, 2013 (CVPR, Oral)

Crowd Counting and Profiling: Methodology and Evaluation C. C. Loy, K. Chen, S. Gong, T. Xiang in S. Ali, K. Nishino, D. Manocha, and M. Shah (Eds.), Modeling, Simulation and Visual Analysis of Crowds, Springer, vol. 11, pp. 347-382, 2013

Feature Mining for Localised Crowd Counting K. Chen, C. C. Loy, S. Gong, and T. Xiang British Machine Vision Conference, 2012 (BMVC)

Number of people who are undernourished in South Asia was reported at 217500000 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Asia - Number of people who are undernourished - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

In 2023, an estimated **** million people in Southeast Asia were undernourished. This represented a decrease from 2015, when approximately **** million people across Southeast Asia were undernourished.

Number of people who are undernourished in Thailand was reported at 4000000 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Thailand - Number of people who are undernourished - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Number of people who are undernourished in Bulgaria was reported at 200000 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Bulgaria - Number of people who are undernourished - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Number of people who are undernourished in Iraq was reported at 7200000 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Iraq - Number of people who are undernourished - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Number of people who are undernourished in Ukraine was reported at 2300000 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ukraine - Number of people who are undernourished - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Economically Active Population Survey: Employees by number of people working in the establishment, sex and age group.oup. Absolute values and percentages. Annual. National.

Number of people who are undernourished in Lebanon was reported at 500000 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Lebanon - Number of people who are undernourished - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

The number of people working in coworking spaces worldwide is predicted to double between 2021 and 2024, reaching ************ people. Coworking Coworking is where a group of workers, usually from different companies, share a common workspace. This workspace is generally rented from a third-party on a short-term basis, generally monthly with the third-party providing most of the office infrastructure. The practice is especially popular amongst freelancers or people who work from home, who may want access to a more social environment for only a few days a week. Global distribution With the exception of the U.K., coworking spaces worldwide are distributed relatively evenly amongst major economies, with the largest single market being in the Asia Pacific region. However, the coworking market is probably better analyzed at the city level rather than the national level. The densest distribution of coworking spaces is found in cities that are large, associated with the digital and creative industries and which have relatively high real estate costs. This suggests a reason why the UK has such an oversized share of coworking spaces relative to size – because London scores highly on all these criteria.

Table of INEBase Number of people you would count on in case of need according to gender and relationship with current economic activity. Population of 15 and older. National. European Health Survey

Number of people who are undernourished in Botswana was reported at 600000 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Botswana - Number of people who are undernourished - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Number of people who are undernourished in Cameroon was reported at 1600000 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Cameroon - Number of people who are undernourished - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

This dataset includes the number of people enrolled in DSS services by town and by race from CY 2015-2024. To view the full dataset and filter the data, click the "View Data" button at the top right of the screen. More data on people served by DSS can be found here. About this data For privacy considerations, a count of zero is used for counts less than five. A recipient is counted in all towns where that recipient resided in that year. Due to eligibility policies and operational processes, enrollment can vary slightly after publication. Please be aware of the point-in-time nature of the published data when comparing to other data published or shared by the Department of Social Services, as this data may vary slightly. Notes by year 2021 In March 2020, Connecticut opted to add a new Medicaid coverage group: the COVID-19 Testing Coverage for the Uninsured. Enrollment data on this limited-benefit Medicaid coverage group is being incorporated into Medicaid data effective January 1, 2021. Enrollment data for this coverage group prior to January 1, 2021, was listed under State Funded Medical. An historical accounting of enrollment of the specific coverage group starting in calendar year 2020 will also be published separately. 2018 On April 22, 2019 the methodology for determining HUSKY A Newborn recipients changed, which caused an increase of recipients for that benefit starting in October 2016. We now count recipients recorded in the ImpaCT system as well as in the HIX system for that assistance type, instead using HIX exclusively. Also, the methodology for determining the address of the recipients changed: 1. The address of a recipient in the ImpaCT system is now correctly determined specific to that month instead of using the address of the most recent month. This resulted in some shuffling of the recipients among townships starting in October 2016. If, in a given month, a recipient has benefit records in both the HIX system and in the ImpaCT system, the address of the recipient is now calculated as follows to resolve conflicts: Use the residential address in ImpaCT if it exists, else use the mailing address in ImpaCT if it exists, else use the address in HIX. This resulted in a reduction in counts for most townships starting in March 2017 because a single address is now used instead of two when the systems do not agree. On February 14, 2019 the enrollment counts for 2012-2015 across all programs were updated to account for an error in the data integration process. As a result, the count of the number of people served increased by 13% for 2012, 10% for 2013, 8% for 2014 and 4% for 2015. Counts for 2016, 2017 and 2018 remain unchanged. On January 16, 2019 these counts were revised to count a recipient in all locations that recipient resided in that year. On January 1, 2019 the counts were revised to count a recipient in only one town per year even when the recipient moved within the year. The most recent address is used.

Number of people who are undernourished in Angola was reported at 8300000 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Angola - Number of people who are undernourished - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.