100+ datasets found
  1. D

    Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and...

    • data.cdc.gov
    • healthdata.gov
    • +3more
    application/rdfxml +5
    Updated May 19, 2025
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    Coronavirus and Other Respiratory Viruses Division (CORVD) (2025). Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Monthly-COVID-19-Death-Rates-per-100-000-Populatio/exs3-hbne
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    tsv, csv, application/rdfxml, application/rssxml, xml, jsonAvailable download formats
    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    Coronavirus and Other Respiratory Viruses Division (CORVD)
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region, with race/ethnicity by age group and age group by race/ethnicity double stratification

  2. d

    COVID-19 case rate per 100,000 population and percent test positivity in the...

    • datasets.ai
    • data.ct.gov
    • +1more
    23, 40, 55, 8
    Updated Sep 8, 2024
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    State of Connecticut (2024). COVID-19 case rate per 100,000 population and percent test positivity in the last 7 days by town - ARCHIVE [Dataset]. https://datasets.ai/datasets/covid-19-case-rate-per-100000-population-and-percent-test-positivity-in-the-last-7-days-by
    Explore at:
    23, 55, 40, 8Available download formats
    Dataset updated
    Sep 8, 2024
    Dataset authored and provided by
    State of Connecticut
    Description

    DPH note about change from 7-day to 14-day metrics: As of 10/15/2020, this dataset is no longer being updated. Starting on 10/15/2020, these metrics will be calculated using a 14-day average rather than a 7-day average. The new dataset using 14-day averages can be accessed here: https://data.ct.gov/Health-and-Human-Services/COVID-19-case-rate-per-100-000-population-and-perc/hree-nys2

    As you know, we are learning more about COVID-19 all the time, including the best ways to measure COVID-19 activity in our communities. CT DPH has decided to shift to 14-day rates because these are more stable, particularly at the town level, as compared to 7-day rates. In addition, since the school indicators were initially published by DPH last summer, CDC has recommended 14-day rates and other states (e.g., Massachusetts) have started to implement 14-day metrics for monitoring COVID transmission as well.

    With respect to geography, we also have learned that many people are looking at the town-level data to inform decision making, despite emphasis on the county-level metrics in the published addenda. This is understandable as there has been variation within counties in COVID-19 activity (for example, rates that are higher in one town than in most other towns in the county).

    This dataset includes a weekly count and weekly rate per 100,000 population for COVID-19 cases, a weekly count of COVID-19 PCR diagnostic tests, and a weekly percent positivity rate for tests among people living in community settings. Dates are based on date of specimen collection (cases and positivity).

    A person is considered a new case only upon their first COVID-19 testing result because a case is defined as an instance or bout of illness. If they are tested again subsequently and are still positive, it still counts toward the test positivity metric but they are not considered another case.

    These case and test counts do not include cases or tests among people residing in congregate settings, such as nursing homes, assisted living facilities, or correctional facilities.

    These data are updated weekly; the previous week period for each dataset is the previous Sunday-Saturday, known as an MMWR week (https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf). The date listed is the date the dataset was last updated and corresponds to a reporting period of the previous MMWR week. For instance, the data for 8/20/2020 corresponds to a reporting period of 8/9/2020-8/15/2020.

    Notes: 9/25/2020: Data for Mansfield and Middletown for the week of Sept 13-19 were unavailable at the time of reporting due to delays in lab reporting.

  3. France Fertility Rate: per 100 Women: 40-50 Years

    • ceicdata.com
    Updated Apr 24, 2018
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    CEICdata.com (2018). France Fertility Rate: per 100 Women: 40-50 Years [Dataset]. https://www.ceicdata.com/en/france/vital-statistics-fertility-rate/fertility-rate-per-100-women-4050-years
    Explore at:
    Dataset updated
    Apr 24, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    France
    Variables measured
    Vital Statistics
    Description

    France Fertility Rate: per 100 Women: 40-50 Years data was reported at 0.800 NA in 2017. This stayed constant from the previous number of 0.800 NA for 2016. France Fertility Rate: per 100 Women: 40-50 Years data is updated yearly, averaging 0.650 NA from Dec 1994 (Median) to 2017, with 24 observations. The data reached an all-time high of 0.800 NA in 2017 and a record low of 0.400 NA in 1997. France Fertility Rate: per 100 Women: 40-50 Years data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.G006: Vital Statistics: Fertility Rate.

  4. Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and...

    • healthdata.gov
    application/rdfxml +5
    Updated May 23, 2025
    + more versions
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    (2025). Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification - dgau-j6jk - Archive Repository [Dataset]. https://healthdata.gov/dataset/Monthly-COVID-19-Death-Rates-per-100-000-Populatio/r7uy-yr4s
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    csv, tsv, application/rdfxml, xml, json, application/rssxmlAvailable download formats
    Dataset updated
    May 23, 2025
    Description

    This dataset tracks the updates made on the dataset "Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification" as a repository for previous versions of the data and metadata.

  5. O

    Average daily COVID-19 incidence rate per 100,000 population by town over...

    • data.ct.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Oct 15, 2020
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    CT DPH (2020). Average daily COVID-19 incidence rate per 100,000 population by town over the last two weeks - ARCHIVE [Dataset]. https://data.ct.gov/Health-and-Human-Services/Average-daily-COVID-19-incidence-rate-per-100-000-/p8y7-wwqk
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    tsv, csv, xml, application/rdfxml, json, application/rssxmlAvailable download formats
    Dataset updated
    Oct 15, 2020
    Dataset authored and provided by
    CT DPH
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    As of 10/22/2020, this dataset is no longer being updated and has been replaced with a new dataset, which can be accessed here: https://data.ct.gov/Health-and-Human-Services/COVID-19-case-rate-per-100-000-population-and-perc/hree-nys2

    This dataset includes the average daily COVID-19 case rate per 100,000 population by town over the last two MMWR weeks (https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf).

    These counts do not include cases among people residing in congregate settings, such as nursing homes, assisted living facilities, or correctional facilities.

    This dataset will be updated weekly.

  6. Spain Peneration Rate: Internet Broadband: per 100 Person

    • ceicdata.com
    + more versions
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    CEICdata.com, Spain Peneration Rate: Internet Broadband: per 100 Person [Dataset]. https://www.ceicdata.com/en/spain/penetration-rate/peneration-rate-internet-broadband-per-100-person
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Spain
    Description

    Spain Peneration Rate: Internet Broadband: per 100 Person data was reported at 31.300 Unit in Mar 2018. This records an increase from the previous number of 31.100 Unit for Dec 2017. Spain Peneration Rate: Internet Broadband: per 100 Person data is updated quarterly, averaging 23.300 Unit from Mar 2005 (Median) to Mar 2018, with 53 observations. The data reached an all-time high of 31.300 Unit in Mar 2018 and a record low of 0.000 Unit in Dec 2005. Spain Peneration Rate: Internet Broadband: per 100 Person data remains active status in CEIC and is reported by National Commission of Markets and Competition. The data is categorized under Global Database’s Spain – Table ES.TB007: Penetration Rate.

  7. Production cost per 100 kilograms of raw milk Hokkaido FY 2022, by category

    • statista.com
    Updated Oct 8, 2024
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    Statista (2024). Production cost per 100 kilograms of raw milk Hokkaido FY 2022, by category [Dataset]. https://www.statista.com/statistics/1472623/hokkaido-japan-production-cost-per-100-kilograms-of-raw-milk-by-category/
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    Dataset updated
    Oct 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In the fiscal year 2022, the production costs per 100 kilograms of raw milk in Hokkaido Prefecture in Japan amounted to around 10.37 thousand Japanese yen. Commercial feed costs made up the largest amount, accounting for almost 3.9 thousand yen.

  8. F

    France Births Rate: per 100 Womens: France: 25-29 Yrs

    • ceicdata.com
    Updated Apr 24, 2018
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    CEICdata.com (2018). France Births Rate: per 100 Womens: France: 25-29 Yrs [Dataset]. https://www.ceicdata.com/en/france/vital-statistics-birth-rate
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    Dataset updated
    Apr 24, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    France
    Variables measured
    Vital Statistics
    Description

    Births Rate: per 100 Womens: France: 25-29 Yrs data was reported at 11.150 NA in 2017. This records a decrease from the previous number of 11.510 NA for 2016. Births Rate: per 100 Womens: France: 25-29 Yrs data is updated yearly, averaging 12.890 NA from Dec 1994 (Median) to 2017, with 24 observations. The data reached an all-time high of 13.420 NA in 2000 and a record low of 11.150 NA in 2017. Births Rate: per 100 Womens: France: 25-29 Yrs data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.G005: Vital Statistics: Birth Rate.

  9. COVID-19: cases per 100,000 people in Spain 2022, by region

    • statista.com
    Updated Jul 7, 2022
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    Statista (2022). COVID-19: cases per 100,000 people in Spain 2022, by region [Dataset]. https://www.statista.com/statistics/1104274/covid-19-infections-every-100-000-people-by-region-in-spain/
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    Dataset updated
    Jul 7, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    The number of COVID-19 cases per 100 thousand population in Spain was highest in Navarre. As of March 29, 2022, over 35 thousand infections per 100 thousand population had been recorded in the region. Catalonia, one of the Spanish communities with the highest number of cases reported around 31 thousand infections per 100 thousand people.

    The outbreak in Spain Since Spain confirmed its first COVID-19 case in La Gomera, Canary Islands, authorities have reported more than 102 thousand deaths as a result of complications stemming from the disease, with Catalonia accounting for the largest amount. As of March 30, 2022, around 11.55 million cases had been recorded in the European country.

    Immunization in Spain As of March 23, 2022, around 88 percent of the population in Spain had received at least one dose of a vaccine against COVID-19. Moreover, approximately 86 percent were already fully vaccinated and close to 52 percent had received a booster. By December 20, 2021 the number of pre-ordered doses of COVID-19 vaccines in the country amounted to 264 million, more than half of which were produced by Pfizer/BioNTech.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  10. w

    Fall-related Death Rates per 100,000 Persons Aged 65 Years and Older, New...

    • data.wu.ac.at
    • healthdata.nj.gov
    application/excel +5
    Updated Jun 21, 2018
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    Loretta Kelly (2018). Fall-related Death Rates per 100,000 Persons Aged 65 Years and Older, New Jersey, by year: Beginning 2010 [Dataset]. https://data.wu.ac.at/odso/healthdata_nj_gov/ODRuay01cmNr
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    xml, json, application/excel, xlsx, application/xml+rdf, csvAvailable download formats
    Dataset updated
    Jun 21, 2018
    Dataset provided by
    Loretta Kelly
    Area covered
    New Jersey
    Description

    Rate: Number of deaths due to falls per 100,000 adults age 65+

    Definition: Deaths with a fall-related injury as the underlying cause (ICD-10 codes: W00-W19)

    Data Source:

    (1) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

    (2) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

    History: MAR 2014 - 2020 targets based on 2006-2008 data

    MAR 2017 - Baseline year changed from 2006-2008 to 2009-2011 - 2020 targets modified to reflect a 10% improvement over the 2009-2011 baseline for total population and all racial/ethnic groups

  11. France Births Rate: per 100 Womens: France: 35-39 Yrs

    • ceicdata.com
    Updated Apr 24, 2018
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    CEICdata.com (2018). France Births Rate: per 100 Womens: France: 35-39 Yrs [Dataset]. https://www.ceicdata.com/en/france/vital-statistics-birth-rate/births-rate-per-100-womens-france-3539-yrs
    Explore at:
    Dataset updated
    Apr 24, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    France
    Variables measured
    Vital Statistics
    Description

    Births Rate: per 100 Womens: France: 35-39 Yrs data was reported at 6.890 NA in 2017. This records a decrease from the previous number of 6.950 NA for 2016. Births Rate: per 100 Womens: France: 35-39 Yrs data is updated yearly, averaging 5.830 NA from Dec 1994 (Median) to 2017, with 24 observations. The data reached an all-time high of 6.990 NA in 2015 and a record low of 3.800 NA in 1994. Births Rate: per 100 Womens: France: 35-39 Yrs data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.G005: Vital Statistics: Birth Rate.

  12. T

    United States - Delinquency Rate on Commercial Real Estate Loans (Excluding...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 27, 2018
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    TRADING ECONOMICS (2018). United States - Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, Banks Not Among the 100 Largest in Size by Assets [Dataset]. https://tradingeconomics.com/united-states/delinquency-rate-on-commercial-real-estate-loans-excluding-farmland-booked-in-domestic-offices-banks-not-among-the-100-largest-in-size-by-assets-percent-fed-data.html
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    Apr 27, 2018
    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
    United States
    Description

    United States - Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, Banks Not Among the 100 Largest in Size by Assets was 1.09% in January of 2025, according to the United States Federal Reserve. Historically, United States - Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, Banks Not Among the 100 Largest in Size by Assets reached a record high of 7.80 in April of 1991 and a record low of 0.47 in July of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Delinquency Rate on Commercial Real Estate Loans (Excluding Farmland), Booked in Domestic Offices, Banks Not Among the 100 Largest in Size by Assets - last updated from the United States Federal Reserve on June of 2025.

  13. Lung Cancer Death Rate (per 100,000), New Jersey, by year: Beginning 2010

    • healthdata.nj.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Dec 8, 2020
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    Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health (2020). Lung Cancer Death Rate (per 100,000), New Jersey, by year: Beginning 2010 [Dataset]. https://healthdata.nj.gov/dataset/Lung-Cancer-Death-Rate-per-100-000-New-Jersey-by-y/ia77-ctqr
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    csv, tsv, application/rdfxml, application/rssxml, xml, jsonAvailable download formats
    Dataset updated
    Dec 8, 2020
    Dataset provided by
    New Jersey Department of Healthhttps://www.nj.gov/health/
    Authors
    Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health
    Area covered
    New Jersey
    Description

    Rate: Number of deaths due to cancer of the trachea, bronchus, and lung per 100,000 Population.

    Definition: Number of deaths per 100,000 with malignant neoplasm (cancer) cancer of the trachea, bronchus, and lung as the underlying cause (ICD-10 codes: C33-C34).

    Data Sources:

    (1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

    (2) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

    (3) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

  14. N

    Price, UT Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
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    Neilsberg Research (2024). Price, UT Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/f044fec6-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 24, 2024
    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
    Price, UT, Price
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, 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, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. 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 data for the Price, UT population pyramid, which represents the Price population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Price, UT, is 32.8.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Price, UT, is 26.0.
    • Total dependency ratio for Price, UT is 58.8.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Price, UT is 3.8.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

    Variables / Data Columns

    • Age Group: This column displays the age group for the Price population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Price for the selected age group is shown in the following column.
    • Population (Female): The female population in the Price for the selected age group is shown in the following column.
    • Total Population: The total population of the Price for the selected age group is shown in the following column.

    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 Price Population by Age. You can refer the same here

  15. Mobile-cellular subscriptions per 100 inhabitants in Nicaragua 2000-2023

    • statista.com
    Updated Aug 14, 2024
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    Statista (2024). Mobile-cellular subscriptions per 100 inhabitants in Nicaragua 2000-2023 [Dataset]. https://www.statista.com/statistics/509607/mobile-cellular-subscriptions-per-100-inhabitants-in-nicaragua/
    Explore at:
    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nicaragua
    Description

    In 2023, there were more than 106 mobile cellular subscriptions per 100 inhabitants in Nicaragua. According to the same source, over 7.2 million mobile phone subscriptions were recorded in Nicaragua in 2023.

  16. Z

    Data on 14-day notification rate of new COVID-19 cases and deaths

    • data.niaid.nih.gov
    Updated Jan 11, 2024
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    Rocca, Marica Teresa (2024). Data on 14-day notification rate of new COVID-19 cases and deaths [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10491320
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    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Rocca, Marica Teresa
    License

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

    Description

    The dataset contains information on the 14-day notification rate of newly reported COVID-19 cases per 100 000 population and the 14-day notification rate of reported deaths per million population by week and Country.

    It is based on data originally downloaded by the site https://www.ecdc.europa.eu/en/covid-19.

    Raw data from ECDC, harmonization and homogenization of data from UNIPV - Laboratory of Geomatics

  17. China CN: Tel: Penetration Rate: Fixed Line per 100 People: Hebei

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). China CN: Tel: Penetration Rate: Fixed Line per 100 People: Hebei [Dataset]. https://www.ceicdata.com/en/china/telephone-number-of-fixed-line-per-100-people-by-region/cn-tel-penetration-rate-fixed-line-per-100-people-hebei
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Phone Statistics
    Description

    Tel: Penetration Rate: Fixed Line per 100 People: Hebei data was reported at 7.900 Unit in 2023. This records a decrease from the previous number of 8.700 Unit for 2022. Tel: Penetration Rate: Fixed Line per 100 People: Hebei data is updated yearly, averaging 13.297 Unit from Dec 1996 (Median) to 2023, with 28 observations. The data reached an all-time high of 23.400 Unit in 2006 and a record low of 4.080 Unit in 1996. Tel: Penetration Rate: Fixed Line per 100 People: Hebei data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under Global Database’s China – Table CN.ICA: Telephone: Number of Fixed Line per 100 People: By Region.

  18. Indicator 3.9.1: Age-standardized mortality rate attributed to household and...

    • sdgs.amerigeoss.org
    • sdgs-amerigeoss.opendata.arcgis.com
    Updated Aug 17, 2020
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    UN DESA Statistics Division (2020). Indicator 3.9.1: Age-standardized mortality rate attributed to household and ambient air pollution (deaths per 100 000 population) [Dataset]. https://sdgs.amerigeoss.org/datasets/undesa::indicator-3-9-1-age-standardized-mortality-rate-attributed-to-household-and-ambient-air-pollution-deaths-per-100-000-population-1/api
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    Dataset updated
    Aug 17, 2020
    Dataset provided by
    United Nations Department of Economic and Social Affairshttps://www.un.org/en/desa
    Authors
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Age-standardized mortality rate attributed to household and ambient air pollution (deaths per 100 000 population)Series Code: SH_STA_ASAIRPRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.9.1: Mortality rate attributed to household and ambient air pollutionTarget 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contaminationGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  19. g

    Rate of users of Social Service Centers per 100 inhabitants. Canary Islands,...

    • gimi9.com
    Updated Dec 27, 2024
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    (2024). Rate of users of Social Service Centers per 100 inhabitants. Canary Islands, islands and municipalities by years | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_fd2303aa8aa5ef1ff9e9d2e01e13201ff188049d
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    Dataset updated
    Dec 27, 2024
    Area covered
    Canary Islands
    Description

    This table provides annual data on the rate of users of Social Service Centres per 100 inhabitants. The information is disaggregated territorially at the level of the Canary Islands, islands and municipalities.

  20. a

    LGA Age-Standardized Chronic Disease Prevalence Rates (per 100 population)...

    • open.alberta.ca
    Updated Oct 21, 2015
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    (2015). LGA Age-Standardized Chronic Disease Prevalence Rates (per 100 population) 2013 - 2020 - Open Government [Dataset]. https://open.alberta.ca/dataset/lga-age-standardized-chronic-disease-prevalence-rates-per-100-population-2013-2020
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    Dataset updated
    Oct 21, 2015
    Description

    Figure 4.1 displays the rates per 100 population of the selected chronic diseases in the local geographic area, by calendar year. The prevalence rates refer to the number of diagnosed individuals at a given time and have been standardized by age. This table is part of "Alberta Health Primary Health Care - Community Profiles" report published August 2022.

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Coronavirus and Other Respiratory Viruses Division (CORVD) (2025). Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Monthly-COVID-19-Death-Rates-per-100-000-Populatio/exs3-hbne

Monthly COVID-19 Death Rates per 100,000 Population by Age Group, Race and Ethnicity, Sex, and Region with Double Stratification

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tsv, csv, application/rdfxml, application/rssxml, xml, jsonAvailable download formats
Dataset updated
May 19, 2025
Dataset authored and provided by
Coronavirus and Other Respiratory Viruses Division (CORVD)
License

https://www.usa.gov/government-workshttps://www.usa.gov/government-works

Description

Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region, with race/ethnicity by age group and age group by race/ethnicity double stratification

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