70 datasets found
  1. Number of maternal deaths and maternal mortality rates for selected causes

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Feb 19, 2025
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    Government of Canada, Statistics Canada (2025). Number of maternal deaths and maternal mortality rates for selected causes [Dataset]. http://doi.org/10.25318/1310075601-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    The number of maternal deaths and maternal mortality rates for selected causes, 2000 to most recent year.

  2. d

    Pregnancy-Associated Mortality

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Oct 11, 2024
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    data.cityofnewyork.us (2024). Pregnancy-Associated Mortality [Dataset]. https://catalog.data.gov/dataset/pregnancy-associated-mortality
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    Dataset updated
    Oct 11, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    Maternal mortality is widely considered an indicator of overall population health and the status of women in the population. DOHMH uses multiple methods including death certificates, vital records linkage, medical examiner records, and hospital discharge data to identify all pregnancy-associated deaths (deaths that occur during pregnancy or within a year of the end of pregnancy) of New York state residents in NYC each year. DOHMH convenes the Maternal Mortality and Morbidity Review Committee (M3RC), a multidisciplinary and diverse group of 40 members that conducts an in-depth, expert review of each pregnancy-associated death of New York state residents occurring in NYC from both clinical and social determinants of health perspectives. The data in this table come from vital records and the M3RC review process. Data are not cross-classified on all variables: cause of death data are available by the relation to pregnancy (pregnancy-related, pregnancy-associated but not related, unable to determine), race/ethnicity and borough of residence data are each separately available for the total number of pregnancy-associated deaths and pregnancy-related deaths only.

  3. a

    Maternal Mortality

    • egis-lacounty.hub.arcgis.com
    • geohub.lacity.org
    • +3more
    Updated Jan 4, 2024
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    County of Los Angeles (2024). Maternal Mortality [Dataset]. https://egis-lacounty.hub.arcgis.com/datasets/maternal-mortality/about
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    Dataset updated
    Jan 4, 2024
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Maternal mortality ratio is defined as the number of female deaths due to obstetric causes (ICD-10 codes: A34, O00-O95, O98-O99) while pregnant or within 42 days of termination of pregnancy. The maternal mortality ratio indicates the likelihood of a pregnant person dying of obstetric causes. It is calculated by dividing the number of deaths among birthing people attributable to obstetric causes in a calendar year by the number of live births registered for the same period and is presented as a rate per 100,000 live births. The number of live births used in the denominator approximates the population of pregnant and birthing people who are at risk. Data are not presented for geographies with number of maternal deaths less than 11.Compared to other high-income countries, women in the US are more likely to die from childbirth or problems related to pregnancy. In addition, there are persistent disparities by race and ethnicity, with Black pregnant persons experiencing a much higher rate of maternal mortality compared to White pregnant persons. Improving the quality of medical care for pregnant individuals before, during, and after pregnancy can help reduce maternal deaths.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

  4. d

    Year, State wise Maternal Mortality Ratio

    • dataful.in
    Updated Jun 5, 2025
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    Dataful (Factly) (2025). Year, State wise Maternal Mortality Ratio [Dataset]. https://dataful.in/datasets/176
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    application/x-parquet, csv, xlsxAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    States of India
    Variables measured
    maternal mortality ratio
    Description

    The World Health Organization (WHO) defines maternal death as the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.

    The maternal Mortality Ratio (MMR) is defined as the number of maternal deaths during a given time period per 100,000 live births during the same time period. This dataset covers trends in MMR across major states during specified trienniums.

  5. Maternal mortality rates in the U.S. from 2018 to 2023, by race/ethnicity

    • statista.com
    Updated Feb 7, 2025
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    Statista (2025). Maternal mortality rates in the U.S. from 2018 to 2023, by race/ethnicity [Dataset]. https://www.statista.com/statistics/1240107/us-maternal-mortality-rates-by-ethnicity/
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    Dataset updated
    Feb 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, non-Hispanic Black women had the highest rates of maternal mortality among select races/ethnicities in the United States, with 50.3 deaths per 100,000 live births. The total maternal mortality rate in the U.S. at that time was 18.6 per 100,000 live births, a decrease from a rate of almost 33 in 2021. This statistic presents the maternal mortality rates in the United States from 2018 to 2023, by race and ethnicity.

  6. L

    Lithuania LT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live...

    • ceicdata.com
    Updated Jun 7, 2018
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    CEICdata.com (2018). Lithuania LT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births [Dataset]. https://www.ceicdata.com/en/lithuania/health-statistics
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    Dataset updated
    Jun 7, 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, 2004 - Dec 1, 2015
    Area covered
    Lithuania
    Description

    LT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 10.000 Ratio in 2015. This stayed constant from the previous number of 10.000 Ratio for 2014. LT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 14.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 31.000 Ratio in 1994 and a record low of 9.000 Ratio in 2010. LT: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.

  7. h

    The acute presentation of pregnant women to non-maternity Emergency...

    • healthdatagateway.org
    unknown
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158), The acute presentation of pregnant women to non-maternity Emergency departments [Dataset]. https://healthdatagateway.org/en/dataset/149
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    unknownAvailable download formats
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    Each year, there are audits to assess maternal & foetal outcomes across the UK. In 2016-18, 217 women died during or up to six weeks after pregnancy, from causes associated with their pregnancy, among 2,235,159 women giving birth in the UK. 9.7 women per 100k died during pregnancy or up to six weeks after childbirth or the end of pregnancy. There was an increase in the overall maternal death rate in the UK between 2013-15 & 2016-18. Assessors judged that 29% of women who died had good care. However, improvements in care which may have made a difference to the outcome were identified for 51% of women who died. Birmingham has a higher than average maternal & foetal death rate. This dataset includes detailed information about the reasons pregnant women seek acute care, & their care pathways & outcomes. PIONEER geography: The West Midlands (WM) has a population of 5.9m & includes a diverse ethnic, socio-economic mix. There is a higher than average % of minority ethnic groups. WM has the youngest population in the UK with a higher than average birth rate. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. 51.2% of babies born in Birmingham have at least one parent born outside of the UK, this compares with 34.7% for England. Each day >100k people are treated in hospital, see their GP or are cared for by the NHS. EHR: University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. Scope: Pregnant or post-partum women from 2015 onwards who attended A&E in Queen Elizabeth hospital. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics (including gestation & postpartum period), co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (admissions, wards, practitioner changes & discharge outcomes), presenting complaints, physiology readings (temperature, blood pressure, NEWS2, SEWS, AVPU), referrals, all prescribed & administered treatments & all outcomes. Available supplementary data: More extensive data including granular serial physiology, bloods, conditions, interventions, treatments. Ambulance, 111, 999 data, synthetic data. Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

  8. d

    Birth Statistics

    • catalog.data.gov
    • data-test-lakecountyil.opendata.arcgis.com
    • +2more
    Updated Nov 22, 2024
    + more versions
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    Lake County Illinois GIS (2024). Birth Statistics [Dataset]. https://catalog.data.gov/dataset/birth-statistics-a76a6
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Lake County Illinois GIS
    Description

    Births rates across Lake County, Illinois by ZIP Code. Explanation of field attributes: LBW - Low birth weight is defined as a birth where the baby weighs less than 2,500 grams. This is a percent. Preterm - Preterm birth is defined as a birth that occur before 37 weeks of pregnancy. This is a percent. Teen Birth – Teen births are defined as women aged 15 to 19 years who give birth. This is a rate. Birth Rate – Birth rate is defined as the number of live births per 1,000 populations. 1st Trimester of Care – 1st Trimester of care refers to the doctor’s visits and care provided during the first 13 weeks of pregnancy. This is a percent.

  9. d

    Maternity Services Monthly Statistics

    • digital.nhs.uk
    Updated Apr 18, 2024
    + more versions
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    (2024). Maternity Services Monthly Statistics [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/maternity-services-monthly-statistics
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    Dataset updated
    Apr 18, 2024
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jan 1, 2024 - Feb 29, 2024
    Description

    This statistical release makes available the most recent monthly data on NHS-funded maternity services in England, using data submitted to the Maternity Services Data Set (MSDS). This is the latest report from the newest version of the data set, MSDS.v.2, which has been in place since April 2019. The new data set was a significant change which added support for key policy initiatives such as continuity of carer, as well as increased flexibility through the introduction of new clinical coding. This was a major change, so data quality and coverage initially reduced from the levels seen in earlier publications. MSDS.v.2 data completeness improved over time, and we are looking at ways of supporting further improvements. This publication also includes the National Maternity Dashboard. Recently, Statistical Process Control (SPC) charts were included in the National Maternity Dashboard. These can be accessed via the CQIM+ page in the dashboard. Data derived from SNOMED codes is used in some measures such as those for smoking at booking and delivery, and birth weight, and others will follow in later publications. SNOMED data is also included in some of the published Clinical Quality Improvement Metrics (CQIMs), where rules have been applied to ensure measure rates are calculated only where data quality is high enough. System suppliers are at different stages of development and delivery to trusts. In some cases, this has limited the aspects of data that can be submitted in the MSDS. To help Trusts understand to what extent they met the Clinical Negligence Scheme for Trusts (CNST) Maternity Incentive Scheme (MIS) Data Quality Criteria for Safety Action 2, we have been producing a CNST Scorecard Dashboard showing trust performance against this criteria. This month, this dashboard has been updated following the release of CNST Y6 criteria, and can be accessed via the link below. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website. The percentages presented in this report are based on rounded figures and therefore may not total to 100%.

  10. d

    NHS Maternity Statistics

    • digital.nhs.uk
    Updated Dec 7, 2023
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    (2023). NHS Maternity Statistics [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/nhs-maternity-statistics
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    Dataset updated
    Dec 7, 2023
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2022 - Mar 31, 2023
    Area covered
    England
    Description

    This is a publication on maternity activity in English NHS hospitals. This report examines data relating to delivery and birth episodes in 2022-23, and the booking appointments for these deliveries. This annual publication covers the financial year ending March 2023. Data is included from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset. In April 2019 the MSDS transitioned to a new version of the dataset. This version, MSDS v2.0, is an update that introduced a new structure and content - including clinical terminology, in order to meet current clinical practice and incorporate new requirements. It is designed to meet requirements that resulted from the National Maternity Review, which led to the publication of the Better Births report in February 2016. This is the fourth publication of data from MSDS v2.0 and data from 2019-20 onwards is not directly comparable to data from previous years. This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with breakdowns including the baby's first feed type, birthweight, place of birth, and breastfeeding activity; and the mothers' ethnicity and age at booking. There is also data available in a separate file on breastfeeding at 6 to 8 weeks. The count of Total Babies includes both live and still births, and previous changes to how Total Babies and Total Deliveries were calculated means that comparisons between 2019-20 MSDS data and later years should be made with care. Information on how all measures are constructed can be found in the HES Metadata and MSDS Metadata files provided below. In this publication we have also included an interactive Power BI dashboard to enable users to explore key NHS Maternity Statistics measures. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This report will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Any feedback on this publication or dashboard can be provided to enquiries@nhsdigital.nhs.uk, under the subject “NHS Maternity Statistics”.

  11. Belarus BY: Births Attended by Skilled Health Staff: % of Total

    • ceicdata.com
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    CEICdata.com, Belarus BY: Births Attended by Skilled Health Staff: % of Total [Dataset]. https://www.ceicdata.com/en/belarus/social-health-statistics
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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
    Dec 1, 2005 - Dec 1, 2020
    Area covered
    Belarus
    Description

    BY: Births Attended by Skilled Health Staff: % of Total data was reported at 99.900 % in 2020. This stayed constant from the previous number of 99.900 % for 2019. BY: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 99.900 % from Dec 1986 (Median) to 2020, with 29 observations. The data reached an all-time high of 100.000 % in 2012 and a record low of 99.800 % in 2014. BY: Births Attended by Skilled Health Staff: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Health Statistics. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women. This is the Sustainable Development Goal indicator 3.1.2[https://unstats.un.org/sdgs/metadata/].

  12. Teen pregnancy, by pregnancy outcomes, females aged 15 to 19

    • www150.statcan.gc.ca
    • open.canada.ca
    • +3more
    Updated Apr 10, 2007
    + more versions
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    Government of Canada, Statistics Canada (2007). Teen pregnancy, by pregnancy outcomes, females aged 15 to 19 [Dataset]. http://doi.org/10.25318/1310016601-eng
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    Dataset updated
    Apr 10, 2007
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Number of teen pregnancies and rates per 1,000 females, by pregnancy outcome (live births, induced abortions, or fetal loss), by age groups 15 to 17 years and 18 to 19 years, 1998 to 2000.

  13. d

    Year wise different item-wise reports statistics the state of West Bengal...

    • dataful.in
    Updated May 22, 2024
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    Dataful (Factly) (2024). Year wise different item-wise reports statistics the state of West Bengal under Health Management Information System (HMIS) [Dataset]. https://dataful.in/datasets/5868
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    csv, xlsx, application/x-parquetAvailable download formats
    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    West Bengal
    Variables measured
    Medical item-wise reports
    Description

    The data shows the statistics of different item-wise reports on a cumulative yearly basis in states up to the sub-district level in West Bengal. It included 1) Ante Natal Care (ANC) - Antenatal care (ANC) is a means to identify high-risk pregnancies and educate women so that they might experience healthier delivery and outcomes. 2) Deliveries - The delivery of the baby by the pregnant women 3) Number of Caesarean (C-Section) deliveries - Caesarean delivery (C-section) is used to deliver a baby through surgical incisions made in the abdomen and uterus. 4) Pregnancy outcome & details of new-born - The records kept of the pregnancy outcome along with the details of new-born 5) Complicated Pregnancies - The different pregnancies that were not normal and had complications 6) Post Natal Care (PNC) - Postnatal care is defined as care given to the mother and her new-born baby immediately after the birth of the placenta and for the first six weeks of life 7) Reproductive Tract Infections/Sexually Transmitted Infections (RTI/STI) Cases - The records of reproductive tract infections along with the records of the sexually transmitted cases 8) Family Planning - The different methods used by families to keep track of family 9) CHILD IMMUNISATION - The records of child immunisation which are records of vaccination 10) Number of cases of Childhood Diseases (0-5 years) - The records of the number of cases of childhood diseases within the age of 5 years old 11) NVBDCP - The National Vector Borne Disease Control Programme (NVBDCP) is one of the most comprehensive and multi-faceted public health activities in the country and concerned with the prevention and control of vector-borne diseases, namely Malaria, Filariasis, Kala-azar, Dengue and Japanese Encephalitis (JE). 12) Adolescent Health - The record of the conditions of adolescent health 13 ) Directly Observed Treatment, Short-course (DOTS) - Directly observed treatment, short-course (DOTS, also known as TB-DOTS) is the name given to the tuberculosis (TB) control strategy recommended by the World Health Organization 14) Patient Services - Patient Services means those which vary with the number of personnel; professional and para-professional skills of the personnel; specialised equipment, and reflect the intensity of the medical and psycho-social needs of the patients. 15) Laboratory Testing - A medical procedure that involves testing a sample of blood, urine, or other substance from the body. Laboratory tests can help determine a diagnosis, plan treatment, check if the treatment works, or monitor the disease over time. 16) Details of deaths reported with probable causes - The reports of deaths recorded with possible reasons are given in a detail 17) Vaccines - The reports of vaccines which are recorded 18) Syringes - It is the number of syringes that are used and recorded 19) Rashtriya Bal Swasthaya Karyakram (RBSK) - Rashtriya Bal Swasthya Karyakram (RBSK) is an important initiative aiming at early identification and early intervention for children from birth to 18 years to cover 4 'D's viz. Defects at birth, Deficiencies, Diseases, Development delays, including disability. 20) Coverage under WIFS JUNIOR - The coverage of the Weekly Iron Folic Acid Supplementation Programme for children six to one 21) Maternal Death Reviews (MDR) - A maternal death review is cross-checking how the mother died. It provides a rare opportunity for a group of health staff and community members to learn from a tragic – and often preventable. 22) Janani Shishu Suraksha Karyakaram (JSSK)- This initiative provides free and cashless services to pregnant women, including normal deliveries and caesarean operations. It entitles all pregnant women in public health institutions to free and no-expense delivery, including caesarean section.

  14. NCHS - Pregnancy Rates, by Age for Hispanic Women: United States, 1990-2010...

    • healthdata.gov
    application/rdfxml +5
    Updated Apr 22, 2025
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    (2025). NCHS - Pregnancy Rates, by Age for Hispanic Women: United States, 1990-2010 - yw43-cug2 - Archive Repository [Dataset]. https://healthdata.gov/dataset/NCHS-Pregnancy-Rates-by-Age-for-Hispanic-Women-Uni/p2er-weeq
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    application/rdfxml, application/rssxml, xml, csv, json, tsvAvailable download formats
    Dataset updated
    Apr 22, 2025
    Area covered
    United States
    Description

    This dataset tracks the updates made on the dataset "NCHS - Pregnancy Rates, by Age for Hispanic Women: United States, 1990-2010" as a repository for previous versions of the data and metadata.

  15. d

    National Family Health Survey (NFHS): State- and Region-wise Statistical...

    • dataful.in
    Updated May 22, 2025
    + more versions
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    Dataful (Factly) (2025). National Family Health Survey (NFHS): State- and Region-wise Statistical Indicators Data on Family Profile and Health Status in India [Dataset]. https://dataful.in/datasets/18683
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    xlsx, csv, application/x-parquetAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    National Nutrition and Health Status of India
    Description

    The dataset contains state-wise National Family Health Survey (NFHS) compiled data on various family planning, childbirth, population, medical, health and other parameters which provide statistical indicators data on family profile and health status in India. There are 100+ indicators covered in the survey which broadly fall in the following categories: Health and Wellness, Maternal and Child Health, Family Planning and Reproductive Health, Disease Screening and Prevention, Social and Economic Factors, General Healthcare and Treatment

    The different types of health data contained in the dataset include Anaemia among women and children, blood sugar levels and hypertension among men and women, tobacco and alcohol consumption among adults, delivery care and child feeding practices of women, quality of family planning services, screening of cancer among women, marriage and family, maternity care, nutritional status of women, child vaccinations and vitamin A supplementation, treatment of childhood diseases, etc.

    Within these categories of health data, the dataset contains indicators data such as births attended by skilled health care professionals and caesarean section, number of children with under and heavy weight, stunted growth, their different vaccations status, male and female sterilization, consumption of iron folic acid among mothers, mother who had antenatal, postnatal, neonatal services, women who are obese and at the risk of weight to hip ratio, educational status among women and children, sanitation, birth and sex ratio, etc.

    All of the data is compiled from the NFHS 4th and 5th survey reports. The The NFHS is a collaborative project of the International Institute for Population Sciences(IIPS), aimed at providing health data to strengthen India's health policies and programmes.

    There are 100+ indicators covered in the survey which broadly fall in the following categories: Health and Wellness, Maternal and Child Health, Family Planning and Reproductive Health, Disease Screening and Prevention, Social and Economic Factors, General Healthcare and Treatment

  16. a

    AIHW - Child and Maternal Health Indicators - Mothers who Smoked during...

    • data.aurin.org.au
    Updated Mar 6, 2025
    + more versions
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    (2025). AIHW - Child and Maternal Health Indicators - Mothers who Smoked during Pregnancy (%) (PHN) 2012-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-child-maternal-gave-brth-smoked-phn-2012-16-phn2015
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of all women who gave birth and smoked during pregnancy. The data spans every two years between 2012-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The Child and Maternal Health Indicators have been calculated from the Australian Institute of Health and Welfare (AIHW) National Mortality Database and Register of Births and National Perinatal Data Collection. This measure has been calculated with the numerator as the total number of mothers who smoked during pregnancy, and the denominator as the total number of mothers with a stated smoking status. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Child and Maternal Health Data Tables.

  17. a

    AIHW - Maternity Indicators - Caesarean Section for Selected Women Giving...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Caesarean Section for Selected Women Giving Birth for the First Time (%) (PHN) 2012-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-caesarean-first-brth-phn-2012-16-phn2015
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of selected women giving birth for the first time who gave birth by caesarean section. This has been calculated with the number of selected females giving birth for the first time who gave birth by caesarean section, divided by all selected females, and multiplied by 100. The data spans the years of 2012-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). Women included are those who gave birth for the first time and met all of the following criteria: Aged between 20 and 34. Gestational age at birth between 37 and 41 completed weeks. Pregnancy has one baby only (singleton). The presentation of the baby is vertex (baby's head was at the cervix). The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC. For further information about this dataset, please visit: Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables. Metadata Online Registry Entry. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

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    AIHW - Maternity Indicators - Induction of Labour for Selected Women Giving...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Induction of Labour for Selected Women Giving Birth for the First Time (%) (SA3) 2014-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-induction-labour-fst-brth-sa3-2014-16-sa3
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of selected women who gave birth for the first time and who had labour induced. This has been calculated with the number of selected females who gave birth for the first time and who had labour induced, divided by all selected females, and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS). Women included are those who gave birth for the first time and met all of the following criteria: Aged between 20 and 34. Gestational age at birth between 37 and 41 completed weeks. Pregnancy has one baby only (singleton). The presentation of the baby is vertex (baby's head was at the cervix). The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC. For further information about this dataset, please visit: Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables. Metadata Online Registry Entry. Please note: AURIN has spatially enabled the original data. A birth is defined as an event in which a baby comes out of the uterus after a pregnancy of at least 20 weeks gestation or weighing 400 grams or more.

  19. a

    AIHW - Maternity Indicators - Smoking after the First 20 Weeks of Pregnancy...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Smoking after the First 20 Weeks of Pregnancy for Women who Gave Birth (%) (PHN) 2012-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-smk-after-first-20-wks-preg-phn-2012-16-phn2015
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of women who gave birth and reported smoking tobacco after the first 20 weeks of pregnancy and reported smoking at any time during pregnancy, by the mother's usual residence. This has been calculated with the number of females who gave birth and reported smoking after the first 20 weeks of pregnancy, divided by the total number of females who gave birth and reported smoking during pregnancy, and multiplied by 100. The data spans the years of 2012-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.

  20. g

    Community Health: Percentage of Pregnant Women in WIC who were Pre-pregnancy...

    • gimi9.com
    Updated Dec 12, 2024
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    (2024). Community Health: Percentage of Pregnant Women in WIC who were Pre-pregnancy Obese (BMI 30 or Higher) by County Map: Latest Data | gimi9.com [Dataset]. https://gimi9.com/dataset/ny_mm9r-gmf5
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    Dataset updated
    Dec 12, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This map shows the percentage of pregnant women in WIC who were pre-pregnancy obese with a BMI 30 or higher by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower percentages of pregnant women in WIC who were pre-pregnancy obese. The darker shaded counties have higher percentages of pregnant women in WIC who were pre-pregnancy obese. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties,11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

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Government of Canada, Statistics Canada (2025). Number of maternal deaths and maternal mortality rates for selected causes [Dataset]. http://doi.org/10.25318/1310075601-eng
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Number of maternal deaths and maternal mortality rates for selected causes

1310075601

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Dataset updated
Feb 19, 2025
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Area covered
Canada
Description

The number of maternal deaths and maternal mortality rates for selected causes, 2000 to most recent year.

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