5 datasets found
  1. d

    Landing Page

    • datadiscoverystudio.org
    Updated Jun 27, 2018
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    U.S. Census Bureau, 2007-2011 American Community Survey (ACS). Compiled by the California Department of Finance. (2018). Landing Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/8dc4e23bc33c48ec85168510ca3a860e/html
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    Dataset updated
    Jun 27, 2018
    Authors
    U.S. Census Bureau, 2007-2011 American Community Survey (ACS). Compiled by the California Department of Finance.
    Area covered
    Description

    Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

  2. Labour force characteristics by province, monthly, seasonally adjusted

    • www150.statcan.gc.ca
    Updated May 9, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Labour force characteristics by province, monthly, seasonally adjusted [Dataset]. http://doi.org/10.25318/1410028701-eng
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    Dataset updated
    May 9, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by province, gender and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

  3. a

    Justice Equity Need Index (zip code)

    • equity-lacounty.hub.arcgis.com
    • data.lacounty.gov
    • +3more
    Updated Apr 25, 2022
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    County of Los Angeles (2022). Justice Equity Need Index (zip code) [Dataset]. https://equity-lacounty.hub.arcgis.com/maps/justice-equity-need-index-zip-code
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    Dataset updated
    Apr 25, 2022
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    The Justice Equity Need Index (JENI), by Advancement Project California, offers a means to map out the disparate burden that criminalization and a detention-first justice model place on specific communities. The index includes the following indicators:System Involvement: The system-involved population by ZIP Code results in direct needs for justice equity, as measured by adult and youth probation. Indicators: Adult Probation (per 1,000 people); Youth Probation (per 1,000 people) Inequity Drivers: Root inequities across communities that contribute to racial and economic disparities as seen in incarceration and policing. Indicators: Black, Latinx, AIAN, and NHPI Percentages of Population (average percentile); Unemployment Rate (%); Population aged 25+ without a High School Diploma (%); Population below 200% of the Federal Poverty Level (%); Violent Crime Rate (per 1,000 people) Criminalization Risk: Conditions where the criminal justice system has historically taken a detention-first, prevention-last approach. Indicators: Mental Health Hospitalizations (per 1,000 people); Substance Use-Related Hospitalizations (per 1,000 people); Homelessness Rate (per 1,000 people) Learn more at https://www.catalystcalifornia.org/campaign-tools/maps-and-data/justice-equity-need-index.Supervisorial Districts, SPAs, and CSAs determined by ZIP Code centroid.

  4. Reported violent crime rate U.S. 2023, by state

    • statista.com
    Updated Nov 14, 2024
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    Statista (2024). Reported violent crime rate U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/200445/reported-violent-crime-rate-in-the-us-states/
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    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the District of Columbia had the highest reported violent crime rate in the United States, with 1,150.9 violent crimes per 100,000 of the population. Maine had the lowest reported violent crime rate, with 102.5 offenses per 100,000 of the population. Life in the District The District of Columbia has seen a fluctuating population over the past few decades. Its population decreased throughout the 1990s, when its crime rate was at its peak, but has been steadily recovering since then. While unemployment in the District has also been falling, it still has had a high poverty rate in recent years. The gentrification of certain areas within Washington, D.C. over the past few years has made the contrast between rich and poor even greater and is also pushing crime out into the Maryland and Virginia suburbs around the District. Law enforcement in the U.S. Crime in the U.S. is trending downwards compared to years past, despite Americans feeling that crime is a problem in their country. In addition, the number of full-time law enforcement officers in the U.S. has increased recently, who, in keeping with the lower rate of crime, have also made fewer arrests than in years past.

  5. a

    CalEnviroScreen 3.0 (June 2018 Update)

    • california-smart-climate-housing-growth-usfca.hub.arcgis.com
    Updated Sep 30, 2021
    + more versions
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    Geospatial Analysis Lab (GsAL) at USF (2021). CalEnviroScreen 3.0 (June 2018 Update) [Dataset]. https://california-smart-climate-housing-growth-usfca.hub.arcgis.com/datasets/calenviroscreen-3-0-june-2018-update-1
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    Dataset updated
    Sep 30, 2021
    Dataset authored and provided by
    Geospatial Analysis Lab (GsAL) at USF
    Area covered
    Description

    The CalEnviroScreen data provides a scale to assess which areas across California are most affected by pollution using data aggregated into two broad categories: Pollution Burden and Population Characteristics. Pollution Burden looks at factors such as air quality, proximity to point sources and hazardous waste facilities, traffic density, and tap water quality. Population Characteristics focuses on identifying those communities that are disproportionately affected by pollution due to underlying health risk factors or socioeconomic indicators such as asthma, cardiovascular disease, poverty levels, and unemployment rates. These are important considerations to take when planning to build housing in an equitable fashion. The data will therefore help guide development in a way that will be beneficial to the health of local communities.Source: https://oehha.ca.gov/calenviroscreen/maps-data

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U.S. Census Bureau, 2007-2011 American Community Survey (ACS). Compiled by the California Department of Finance. (2018). Landing Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/8dc4e23bc33c48ec85168510ca3a860e/html

Landing Page

Top unemployment and poverty areas in California.

urn:x-esri:specification:ServiceType:ArcGIS:MapServer

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Dataset updated
Jun 27, 2018
Authors
U.S. Census Bureau, 2007-2011 American Community Survey (ACS). Compiled by the California Department of Finance.
Area covered
Description

Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

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