This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex. Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below). Life expectancy data are available up to 2017. Due to changes in categories of race used in publications, data are not available for the black population consistently before 1968, and not at all before 1960. More information on historical data on age-adjusted death rates is available at https://www.cdc.gov/nchs/nvss/mortality/hist293.htm. SOURCES CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

Abstract (en): This collection provides information on live births in the United States during the calendar year 2011. The natality data in these files are a component of the vital statistics collection effort maintained by the federal government. Birth data is limited to births occurring in the United States to United States residents and nonresidents. Births occurring to United States citizens outside of the United States are not included in this data collection. Dataset 1 contains data on births occurring within the United States, while Dataset 2 contains data on births occurring in the United States territories of Puerto Rico, the U.S. Virgin Islands, Guam, American Samoa, and the Commonwealth of the Northern Mariana Islands. Variables describe the place of delivery, who was in attendance, and medical and health data such as the method of delivery, prenatal care, tobacco use during pregnancy, pregnancy history, medical risk factors, and infant health characteristics. Birth rates, fertility rates, and other aggregate statistics can be found in the Detailed Technical Notes section of the ICPSR User Guide. Demographic information includes the child's sex and month and year of birth, the parents' ages, races, ethnicities, education levels, as well as the mother's marital status and residency status. This report presents detailed data on numbers and characteristics of births in 2011, birth and fertility rates, maternal demographic and health characteristics, place and attendant at birth, and infant health characteristics within the United States and its territories. The data are not weighted and no weight variables are present in the collection. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. Live births in the United States and its territories during calendar year 2011. Smallest Geographic Unit: County One-hundred percent of birth certificates in calendar year 2011. record abstractsThe territories file, which includes data on births occurring in Puerto Rico, the U.S. Virgin Islands, Guam, American Samoa, and the Commonwealth of the Northern Marianas Islands, includes limited geographic detail. Information identifying individual territories and counties with populations of 100,000 or more by place of occurrence and residence are available in this file.This collection includes data based on both the 1989 Revision of the U.S. Standard Certificate of Live Birth (unrevised) and the 2003 Revision of the U.S. Standard Certificate of Live Birth (revised). However, in general, only data comparable between 1989 and 2003 revisions and data exclusive to the 2003 revision are included. Beginning with the 2005 data year, the micro-data natality file no longer includes geographic detail (e.g., state or county of birth). Information on the NCHS data release policy is available through the National Center for Health Statistics Web site. Tabulations of birth data by state and for counties with populations of 100,000 or more may be made using VitalStats. Procedures for requesting micro-data files with geographic detail are provided in the National Center for Health Statistics data release policy.Beginning with the 2007 data year, data items such as maternal anemia, ultrasound, and alcohol use are no longer available in public use files.Beginning with the 2011 data year, unrevised data for educational attainment, prenatal care, and type of vaginal and cesarean delivery are no longer included in the data files. Data for these items from the 1989 revision are not comparable with data from the 2003 revision. For additional information on the Natality Detail File Series, please visit the National Center for Health Statistics Web site.

Key figures on fertility, live and stillborn children and multiple births among inhabitants of The Netherlands.

Available selections: - Live born children by sex; - Live born children by age of the mother (31 December), in groups; - Live born children by birth order from the mother; - Live born children by marital status of the mother; - Live born children by country of birth of the mother and origin country of the mother; - Stillborn children by duration of pregnancy; - Births: single and multiple; - Average number of children per female; - Average number of children per male; - Average age of the mother at childbirth by birth order from the mother; - Average age of the father at childbirth by birth order from the mother; - Net replacement factor.

CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term ‘migration background’ is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin.

Data available from: 1950 Most of the data is available as of 1950 with the exception of the live born children by country of birth of the mother and origin country of the mother (from 2021, previous periods will be added at a later time), stillborn children by duration of pregnancy (24+) (from 1991), average number of children per male (from 1996) and the average age of the father at childbirth (from 1996).

Status of the figures: The 2023 figures on stillbirths and (multiple) births are provisional, the other figures in the table are final.

Changes per 17 December 2024: Figures of 2023 have been added. The provisional figures on the number of live births and stillbirths for 2023 do not include children who were born at a gestational age that is unknown. These cases were included in the final figures for previous years. However, the provisional figures show a relatively larger number of children born at an unknown gestational age. Based on an internal analysis for 2022, it appears that in the majority of these cases, the child was born at less than 24 weeks. To ensure that the provisional 2023 figures do not overestimate the number of stillborn children born at a gestational age of over 24 weeks, children born at an unknown gestational age have now been excluded.

When will new figures be published? Final 2023 figures on the number of stillbirths and the number of births are expected to be added to the table in de third quarter of 2025. In the third quarter of 2025 final figures of 2024 will be published in this publication.

This dataset contains natality data based on CDC-collected statistics for live births occurring within the United States to U.S. residents. The data capture a range of maternal demographic information, such as state and county of residence, mother's age and race, ethnicity and country of origin, marital status, and education. It also includes health and medical data on these mothers, including prior birth history, prenatal care visits, WIC enrollment, tobacco use, method of delivery, method of payment, and congenital anomalies and other morbidity data. Beyond maternal characteristics, this dataset also illustrates both paternal and infant information that may be relevant to understanding certain social determinants of health. Paternal characteristics include age, race and ethnicity (including country of origin), education. Infant characteristics: gender, birth weight, delivery, congenital abnormalities. For researchers and population health teams, this data can be used to identify localities that have had higher-than-average complicated and high-cost births and give insight into possible targeting strategies based on population characteristics. The data are derived from birth certificates, reported to the CDC. For more information, see here .

Abstract copyright UK Data Service and data collection copyright owner.The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online. These data were originally published in the reports of the Registrar-General for England and Wales. They were computerised by the Great Britain Historical GIS Project and its collaborators. They form part of the Great Britain Historical Database, which contains a wide range of geographically-located statistics, selected to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain, generally at sub-county scales. This study mainly comprises data from the RG's Annual Reports, with some data from the Quarterly Returns. A very extensive transcription from the Decennial Supplements forms a separate study. In this pre-1911 period, the main reporting units were approximately 630 Registration Districts, grouped into Registration Counties and subdivided into around 2,000 Registration sub-Districts.Latest edition informationFor the second edition (December 2022) the previous data and documentation files were replaced with new versions, and access conditions were changed from safeguarded to open access. Main Topics: Annual counts of births and deaths for all Registration Districts in all years 1850 to 1910, with marriages for some years. Annual cause-of-death data for all Registration Districts in all years, 1856 to 1910. The causes of death focus on epidemic diseases. Annual age-specific mortality data for all Registration Districts for 1840-42, 1850-52, 1860-1882, 1890-92, 1900-02, 1908-1910 (i.e. for most of the period, census years plus immediately adjacent years). Quarterly counts of births, deaths and selected causes of death from the Registrar-General's Quarterly Returns, for Registration sub-Districts. This is limited to (1) a full transcription of all four quarters for each census year within the period covered by the Quarterly Returns: 1871, 1881, 1891, 1901 and 1911; (2) numbers of births and infant deaths in all sub-districts in the County of London from the full run of reports from 1871 to 1911; and (3) a full transcription of all four quarters of 1876, but limited to the north-west of England, defined as Cheshire, Lancashire and Westmorland plus Chapel-en-le-Frith and Hayfield Registration Districts in Derbyshire and Saddleworth in the West Riding. Individual cholera deaths in London in summer and autumn 1866 arranged by date and causes of death, plus a variant which is adjusted for deaths in hospitals (these data were created by Graham Mooney). A separate UKDS study contains decennial age-specific cause of death data for all Registration Districts in all decades from 1851-60 to 1901-10. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

We present a new sample of mid-L to mid-T dwarfs with effective temperatures of 1100-1700K selected from the UKIDSS Large Area Survey (LAS) and confirmed with infrared spectra from X-shooter/Very Large Telescope. This effective temperature range is especially sensitive to the formation history of Galactic brown dwarfs and allows us to constrain the form of the sub-stellar birth rate, with sensitivity to differentiate between a flat (stellar like) birth rate and an exponentially declining form. We present the discovery of 63 new L and T dwarfs from the UKIDSS LAS DR7, including the identification of 12 likely unresolved binaries, which form the first complete sub-set from our programme, covering 495 square degrees of sky, complete to J=18.1. We compare our results for this sub-sample with simulations of differing birth rates for objects of masses 0.10-0.03M_{sun}_ and ages 1-10Gyr. We find that the more extreme birth rates (e.g. a halo type form) can likely be excluded as the true form of the birth rate. In addition, we find that although there is substantial scatter we find a preference for a mass function, with a power-law index {alpha} in the range -1<{alpha}<0 that is consistent (within the errors) with the studies of late T dwarfs.

Historic lists of top 100 names for baby boys and girls for 1904 to 2024 at 10-yearly intervals.

This project undertook the systematic collection of first-generation data concerning the nature, extent, and seriousness of child sexual exploitation (CSE) in the United States. The project was organized around the following research objectives: (1) identification of the nature, extent, and underlying causes of CSE and the commercial sexual exploitation of children (CSEC) occurring in the United States, (2) identification of those subgroups of children that were at the greatest risk of being sexually exploited, (3) identification of subgroups of adult perpetrators of sex crimes against children, and (4) identification of the modes of operation and other methods used by organized criminal units to recruit children into sexually exploitative activities. The study involved surveying senior staff members of nongovernment organizations (NGOs) and government organizations (GOs) in the United States known to be dealing with persons involved in the transnational trafficking of children for sexual purposes. Part 1 consists of survey data from nongovernment organizations. These were local child and family agencies serving runaway and homeless youth. Part 2 consists of survey data from government organizations. These organizations were divided into local, state, and federal agencies. Local organizations included municipal law enforcement, county law enforcement, prosecutors, public defenders, and corrections. State organizations included state child welfare directors, prosecutors, and public defenders. Federal organizations included the Federal Bureau of Investigation, Federal Public Defenders, Immigration and Naturalization Service, United States Attorneys, United States Customs, and the United States Postal Service. Variables in Parts 1 and 2 include the organization's city, state, and ZIP code, the type of services provided or type of law enforcement agency, how the agency was funded, the scope of the agency's service area, how much emphasis was placed on CSEC as a policy issue or a service issue, conditions that might influence the number of CSEC cases, how staff were trained to deal with CSEC cases, how victims were identified, the number of children that experienced child abuse, sexual abuse, pornography, or other exploitation in 1999 and 2000 by age and gender, methods of recruitment, family history of victims, gang involvement, and substance abuse history of victims.

This dataset represents a group of paper records (a "series") within the Marie C. McCormick papers, 1956-2016 (inclusive), 1968-2009 (bulk), which can be accessed on-site at the Center for the History of Medicine at the Francis A. Countway Library of Medicine in Boston, Massachusetts. The series consists of administrative and regulatory records generated and compiled by Marie C. McCormick as a product of her service as Principal Investigator of phase IV of the Infant Health and Development Program. The Infant Health and Development Program (IHDP) consisted of four phases, and was concerned with the short- and long-term outcomes of low birthweight and high-risk pregnancies. For records from the first three phases, please see the “Infant Health and Development Program, Phases I-III Records, 1984-2002” dataset. Regulatory records include: survey instruments; protocols and methodologies; and codebooks. Administrative records include: institutional review board certification records and safety plan activation records for each site; grant applications; budgets; reports; subject lists; meeting agendas; and administrative correspondence. Frequent topics include: engagement and motivation in school; behavior and mental health; cognitive and linguistic ability; health status; mothers’ supervisory attitudes and strategies; mothers’ aspirations for their children; mothers’ coping and mental health; differences between lighter and heavier low-birthweight children; and differences between more and less affluent families. Series also includes: occasional summarized, analyzed, and assessment data tables and charts; manuscript drafts and collected publications; and five CDs and one DVD, containing SAS and SPSS dataset files and administrative, regulatory, and publishing records. More IHDP records may be found in the “Infant Health and Development Program, Phases I-III Records, 1984-2002” and “Infant Health and Development Program, Phase IV Electronic Records, 2000-2016” datasets. Data and associated records are accessible onsite at the Center for the History of Medicine per the conditions governing access described below. Conditions Governing Access to Original Collection Materials: The series represented by this dataset includes longitudinal patient information that is restricted for 80 years from the most recently dated records in the series, personnel information that is restricted for 80 years from the date of record creation, and Harvard University records that are restricted for 50 years from the date of record creation. Access to electronic records is also premised on the availability of a computer station, requisite software, and/or the ability of Public Services staff to review and/or print out records of interest in advance of an on-site visit. Researchers should contact Public Services for more information. The Marie C. McCormick papers were processed with grant funding from the Andrew W. Mellon Foundation, as awarded and administered by the Council on Library and Information Resources (CLIR) in 2016. View the Marie C. McCormick Papers finding aid for a full collection inventory of both paper and digital records, and for more information about accessing and using the collection.

NOTE: This dataset replaces two previous ones. Please see below.

Chicago residents who are up to date with COVID-19 vaccines, based on the reported address, race-ethnicity, sex, and age group of the person vaccinated, as provided by the medical provider in the Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE).

“Up to date” refers to individuals who meet the CDC’s updated COVID-19 vaccination criteria based on their age and prior vaccination history. For surveillance purposes, up to date is defined based on the following criteria:

People ages 5 years and older: · Are up to date when they receive 1+ doses of a COVID-19 vaccine during the current season.

Children ages 6 months to 4 years: · Children who have received at least two prior COVID-19 vaccine doses are up to date when they receive one additional dose of COVID-19 vaccine during the current season, regardless of vaccine product. · Children who have received only one prior COVID-19 vaccine dose are up to date when they receive one additional dose of the current season's Moderna COVID-19 vaccine or two additional doses of the current season's Pfizer-BioNTech COVID-19 vaccine. · Children who have never received a COVID-19 vaccination are up to date when they receive either two doses of the current season's Moderna vaccine or three doses of the current season's Pfizer-BioNTech vaccine.

This dataset takes the place of two previous datasets, which cover doses administered from December 15, 2020 through September 13, 2023 and are marked has historical: - https://data.cityofchicago.org/Health-Human-Services/COVID-19-Daily-Vaccinations-Chicago-Residents/2vhs-cf6b - https://data.cityofchicago.org/Health-Human-Services/COVID-19-Vaccinations-by-Age-and-Race-Ethnicity/37ac-bbe3.

Data Notes:

Weekly cumulative totals of people up to date are shown for each combination of race-ethnicity, sex, and age group. Note that race-ethnicity, age, and sex all have an option for “All” so care should be taken when summing rows.

Coverage percentages are calculated based on the cumulative number of people in each race-ethnicity/age/sex population subgroup who are considered up to date as of the week ending date divided by the estimated number of people in that subgroup. Population counts are obtained from the 2020 U.S. Decennial Census. Actual counts may exceed population estimates and lead to coverage estimates that are greater than 100%, especially in smaller demographic groupings with smaller populations. Additionally, the medical provider may report incorrect demographic information for the person receiving the vaccination, which may lead to over- or underestimation of vaccination coverage. All coverage percentages are capped at 99%.

Weekly cumulative counts and coverage percentages are reported from the week ending Saturday, September 16, 2023 onward through the Saturday prior to the dataset being updated.

All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects data currently known to CDPH.

Numbers in this dataset may differ from other public sources due to when data are reported and how City of Chicago boundaries are defined.

The Chicago Department of Public Health uses the most complete data available to estimate COVID-19 vaccination coverage among Chicagoans, but there are several limitations that impact our estimates. Individuals may receive vaccinations that are not recorded in the Illinois immunization registry, I-CARE, such as those administered in another state, causing underestimation of the number individuals who are up to date. Inconsistencies in records of separate doses administered to the same person, such as slight variations in dates of birth, can result in duplicate records for a person and underestimate the number of people who are up to date.

For all datasets related to COVID-19, see https://data.cityofchicago.org/browse?limitTo=datasets&sortBy=alpha&tags=covid-19.

Data Source: Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE), U.S. Census Bureau 2020 Decennial Census