9 datasets found
  1. Data from: Congressional Districts

    • catalog.data.gov
    • hub.arcgis.com
    • +1more
    Updated May 2, 2025
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    United States Census Bureau (USCB) (Point of Contact) (2025). Congressional Districts [Dataset]. https://catalog.data.gov/dataset/congressional-districts5
    Explore at:
    Dataset updated
    May 2, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 119th Congressional Districts dataset reflects boundaries from January 03, 2025 from the United States Census Bureau (USCB), and the attributes are updated every Sunday from the United States House of Representatives and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Information for each member of Congress is appended to the Census Congressional District shapefile using information from the Office of the Clerk, U.S. House of Representatives' website https://clerk.house.gov/xml/lists/MemberData.xml and its corresponding XML file. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. This dataset also includes 9 geographies for non-voting at large delegate districts, resident commissioner districts, and congressional districts that are not defined. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 119th Congress is seated from January 3, 2025 through January 3, 2027. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts reflect information provided to the Census Bureau by the states by May 31, 2024. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529006

  2. N

    Phoenix, AZ Population Breakdown by Gender and Age Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Phoenix, AZ Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/phoenix-az-population-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Phoenix, Arizona
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Phoenix by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Phoenix. The dataset can be utilized to understand the population distribution of Phoenix by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Phoenix. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Phoenix.

    Key observations

    Largest age group (population): Male # 30-34 years (69,724) | Female # 25-29 years (67,759). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Phoenix population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Phoenix is shown in the following column.
    • Population (Female): The female population in the Phoenix is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Phoenix for each age group.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Phoenix Population by Gender. You can refer the same here

  3. T

    United States New Home Sales

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Apr 23, 2025
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    TRADING ECONOMICS (2025). United States New Home Sales [Dataset]. https://tradingeconomics.com/united-states/new-home-sales
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1963 - May 31, 2025
    Area covered
    United States
    Description

    New Home Sales in the United States decreased to 623 Thousand units in May from 722 Thousand units in April of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  4. F

    Housing Inventory Estimate: Total Housing Units in the United States

    • fred.stlouisfed.org
    json
    Updated Apr 28, 2025
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    (2025). Housing Inventory Estimate: Total Housing Units in the United States [Dataset]. https://fred.stlouisfed.org/series/ETOTALUSQ176N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 28, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory Estimate: Total Housing Units in the United States (ETOTALUSQ176N) from Q2 2000 to Q1 2025 about inventories, housing, and USA.

  5. Online Dating Services Market Analysis North America, Europe, APAC, South...

    • technavio.com
    Updated Feb 13, 2025
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    Technavio (2025). Online Dating Services Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Canada, UK, Germany, Italy, China, France, The Netherlands, Japan, India - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/online-dating-services-market-industry-analysis
    Explore at:
    Dataset updated
    Feb 13, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Canada, United States, Global
    Description

    Snapshot img

    Online Dating Services Market Size 2025-2029

    The online dating services market size is forecast to increase by USD 2.9 billion at a CAGR of 5.8% between 2024 and 2029.

    Online dating services have witnessed significant growth in recent years, driven by the increasing adoption of digital technologies and the rise of niche platforms catering to specific demographics. The integration of social media analytics and application development has enabled more effective matching algorithms, while artificial intelligence and machine learning are being leveraged to enhance user experience. However, concerns around security and privacy continue to pose challenges for the industry. Mobile applications dominate the market, offering convenience and accessibility to users. As online dating becomes more mainstream, there is a growing need for advanced security analytics to build trust and ensure user safety. This market analysis report explores these trends and challenges, providing insights into the future growth prospects of the market.
    

    What will be the Size of the Online Dating Services Market During the Forecast Period?

    Request Free Sample

    The market encompasses a vast array of internet platforms catering to single people In their quest for meaningful connections. With an increasing number of individuals prioritizing convenience and flexibility In their social lives, the market's sales continue to soar. Online dating services, which include dating sites and apps, have revolutionized the way people meet and interact, offering subscriptions that grant access to a vast pool of potential matches. Social media integration and artificial intelligence-driven matchmaking algorithms further enhance the user experience, allowing customers to connect with like-minded individuals more effectively. However, the industry faces challenges such as mischief and phishing attempts, requiring stringent security measures to protect personal details and online banking passwords.
    Moreover, as internet usage continues to increase, the outlook for online dating services remains positive, with continued innovation and adaptation to customer priorities shaping the future of this dynamic and evolving market.
    

    How is this Online Dating Services Industry segmented and which is the largest segment?

    The online dating services industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Marriage
      Casual
      Socialize
    
    
    Pricing Scheme
    
      Subscription
      Advertising
    
    
    Platform
    
      Web-based
      App-based
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
        France
        Italy
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Type Insights

    The marriage segment is estimated to witness significant growth during the forecast period.
    

    The marriage segment of the market caters to individuals seeking long-term, committed relationships. These users prioritize shared values, beliefs, and life goals in potential partners. They are typically older, with many In their 30s, 40s, and beyond. Online platforms serving this demographic utilize detailed profiles and advanced compatibility-matching algorithms, offering additional features like coaching and counseling to foster lasting relationships. From a business perspective, the marriage segment is valuable due to users' willingness to invest in premium services, making it a significant revenue generator for online dating providers. The use of technology, including email addresses and internet banking passwords, necessitates strong app security and protection against fraud activities, such as fake online accounts and phishing attempts.

    Get a glance at the Online Dating Services Industry report of share of various segments Request Free Sample

    The marriage segment was valued at USD 2.99 billion in 2019 and showed a gradual increase during the forecast period.

    Regional Analysis

    APAC is estimated to contribute 38% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    The North American market is experiencing growth due to the increasing acceptance and popularity of online platforms for connecting single people. Key trends in this market include the integration of artificial intelligence (AI) and machine-learning algorithms, expansion into niche demographics, and the provision of video dating options. Major players, such as Match Group, eHarmony, and Bumble, dominate the market, offering various subscription models with free and premium options. The use

  6. T

    United States Existing Home Sales

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 22, 2025
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    TRADING ECONOMICS (2025). United States Existing Home Sales [Dataset]. https://tradingeconomics.com/united-states/existing-home-sales
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1968 - May 31, 2025
    Area covered
    United States
    Description

    Existing Home Sales in the United States increased to 4030 Thousand in May from 4000 Thousand in April of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. T

    Single-Parent Households with Children as a Percentage of Households with...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 4, 2020
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    TRADING ECONOMICS (2020). Single-Parent Households with Children as a Percentage of Households with Children (5-year estimate) in Kankakee County, IL [Dataset]. https://tradingeconomics.com/united-states/single-parent-households-with-children-as-a-percentage-of-households-with-children-in-kankakee-county-il-fed-data.html
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Sep 4, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Kankakee County, Illinois
    Description

    Single-Parent Households with Children as a Percentage of Households with Children (5-year estimate) in Kankakee County, IL was 41.53% in January of 2023, according to the United States Federal Reserve. Historically, Single-Parent Households with Children as a Percentage of Households with Children (5-year estimate) in Kankakee County, IL reached a record high of 41.53 in January of 2023 and a record low of 35.54 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Single-Parent Households with Children as a Percentage of Households with Children (5-year estimate) in Kankakee County, IL - last updated from the United States Federal Reserve on July of 2025.

  8. N

    Sarasota, FL Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Sarasota, FL Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/sarasota-fl-population-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Sarasota, Florida
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Sarasota by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Sarasota across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a majority of female population, with 53.62% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

    Variables / Data Columns

    • Gender: This column displays the Gender (Male / Female)
    • Population: The population of the gender in the Sarasota is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Sarasota total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Sarasota Population by Race & Ethnicity. You can refer the same here

  9. All-time biggest online data breaches 2025

    • statista.com
    • ai-chatbox.pro
    Updated May 26, 2025
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    Statista (2025). All-time biggest online data breaches 2025 [Dataset]. https://www.statista.com/statistics/290525/cyber-crime-biggest-online-data-breaches-worldwide/
    Explore at:
    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    Worldwide
    Description

    The largest reported data leakage as of January 2025 was the Cam4 data breach in March 2020, which exposed more than 10 billion data records. The second-largest data breach in history so far, the Yahoo data breach, occurred in 2013. The company initially reported about one billion exposed data records, but after an investigation, the company updated the number, revealing that three billion accounts were affected. The National Public Data Breach was announced in August 2024. The incident became public when personally identifiable information of individuals became available for sale on the dark web. Overall, the security professionals estimate the leakage of nearly three billion personal records. The next significant data leakage was the March 2018 security breach of India's national ID database, Aadhaar, with over 1.1 billion records exposed. This included biometric information such as identification numbers and fingerprint scans, which could be used to open bank accounts and receive financial aid, among other government services.

    Cybercrime - the dark side of digitalization As the world continues its journey into the digital age, corporations and governments across the globe have been increasing their reliance on technology to collect, analyze and store personal data. This, in turn, has led to a rise in the number of cyber crimes, ranging from minor breaches to global-scale attacks impacting billions of users – such as in the case of Yahoo. Within the U.S. alone, 1802 cases of data compromise were reported in 2022. This was a marked increase from the 447 cases reported a decade prior. The high price of data protection As of 2022, the average cost of a single data breach across all industries worldwide stood at around 4.35 million U.S. dollars. This was found to be most costly in the healthcare sector, with each leak reported to have cost the affected party a hefty 10.1 million U.S. dollars. The financial segment followed closely behind. Here, each breach resulted in a loss of approximately 6 million U.S. dollars - 1.5 million more than the global average.

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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United States Census Bureau (USCB) (Point of Contact) (2025). Congressional Districts [Dataset]. https://catalog.data.gov/dataset/congressional-districts5
Organization logo

Data from: Congressional Districts

Related Article
Explore at:
Dataset updated
May 2, 2025
Dataset provided by
United States Census Bureauhttp://census.gov/
Description

The 119th Congressional Districts dataset reflects boundaries from January 03, 2025 from the United States Census Bureau (USCB), and the attributes are updated every Sunday from the United States House of Representatives and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Information for each member of Congress is appended to the Census Congressional District shapefile using information from the Office of the Clerk, U.S. House of Representatives' website https://clerk.house.gov/xml/lists/MemberData.xml and its corresponding XML file. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. This dataset also includes 9 geographies for non-voting at large delegate districts, resident commissioner districts, and congressional districts that are not defined. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 119th Congress is seated from January 3, 2025 through January 3, 2027. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts reflect information provided to the Census Bureau by the states by May 31, 2024. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529006

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