This dataset contains counts of live births for California counties based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

Series Name: Proportion of countries with birth registration data that are at least 90 percent complete (percent)Series Code: SG_REG_BRTH90Release 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 17.19.2: Proportion of countries that (a) have conducted at least one population and housing census in the last 10 years; and (b) have achieved 100 per cent birth registration and 80 per cent death registrationTarget 17.19: By 2030, build on existing initiatives to develop measurements of progress on sustainable development that complement gross domestic product, and support statistical capacity-building in developing countriesGoal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

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 tables with the percent of live births with low birthweight and very low birthweight: 1) by maternal county of residence 2) by race/ethnicity group of mother. Low birthweight are live births weighing less than 2,500 grams (approximately 5 pounds, 8 ounces). Very low birthweight are live births weighing less than 1,500 grams (approximately 3 pounds, 5 ounces). Low and very low birthweight can be associated with very serious health problems for the infant and can lead to certain serious health conditions later in life. Data includes births with birthweight of 227 to 8,165 grams and excludes non-California residents.

Content

The United States Census Bureau’s International Dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the data set includes midyear population figures broken down by age and gender assignment at birth. Additionally, they provide time-series data for attributes including fertility rates, birth rates, death rates, and migration rates.

The full documentation is available here. For basic field details, please see the data dictionary.

Note: The U.S. Census Bureau provides estimates and projections for countries and areas that are recognized by the U.S. Department of State that have a population of at least 5,000.

Acknowledgements

This dataset was created by the United States Census Bureau.

Inspiration

Which countries have made the largest improvements in life expectancy? Based on current trends, how long will it take each country to catch up to today’s best performers?

Use this dataset with BigQuery

You can use Kernels to analyze, share, and discuss this data on Kaggle, but if you’re looking for real-time updates and bigger data, check out the data on BigQuery, too: https://cloud.google.com/bigquery/public-data/international-census.

This dataset contains counts of live births for California as a whole based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

Number and percentage of live births, by month of birth, 1991 to most recent year.

According to the most recent data, more people died in Spain than were born in 2024, with figures reaching over 439,000 deaths versus 322,034 newborns. From 2006 to 2024, 2008 ranked as the year in which the largest number of children were born, with figures reaching over half a million newborns. The depopulation of a country The population of Spain declined for many years, a negative trend reverted from 2016 onwards, and was projected to grow by nearly two million by 2029 compared to 2024. Despite this expected increase, Spain has one of the lowest fertility rate in the European Union, with barely 1.29 children per woman according to the latest reports. During the last years, the country featured a continuous population density of approximately 94 inhabitants per square kilometer – a figure far from the European average, which stood nearly at nearly 112 inhabitants per square kilometer in 2021. Migration inflow: an essential role in the Spanish population growth One of the key points to balance out the population trend in Spain is immigration – Spain’s immigration figures finally started to pick up in 2015 after a downward trend that presumably initiated after the 2008 financial crisis, which left Spain with one of the highest unemployment rates in Europe.

Babies with Low Birth Weight - This indicator shows the percentage of live births that are a low birth weight (2500 grams or less). Babies born with a low birth weight are at increased risk for serious health consequences including disabilities and death. Low birth weight babies weigh less than 2,500 grams (5.5 pounds). Maryland’s low birth weight percentage is higher than the national average. Link to Data Details

This dataset contains percent preterm and very preterm live births by race/ethnic group of mother. Preterm births are all live births less than 37 weeks of gestation. Very preterm births are all live births less than 32 weeks of gestation. Important growth and development occur throughout pregnancy, especially in the final months and weeks. There is a higher risk of serious disability or death the earlier a baby is born. Gestational age is based on obstetric estimate at delivery (OE). Data includes births with gestational age of 17-47 weeks. Note: The race and ethnic groups in this table utilize eight mutually exclusive race and ethnicity categories. These categories are Hispanic and the following Non-Hispanic categories of Multi-Race, African-American, American Indian (includes Eskimo and Aleut), Asian, Pacific Islander (includes Hawaiian), White (includes Other race) and Unknown (includes refused to state and missing).

Data should not be compared to other data where gestational age is based on the date of last normal menses (LMP) and not OE. The National Center for Health Statistics recently transitioned to using an OE-based gestational age measure due to increasing evidence of its greater validity compared with the LMP-based measure. (http://www.cdc.gov/nchs/data/nvsr/nvsr64/nvsr64_05.pdf)

Series Name: Neonatal mortality rate (deaths per 1 000 live births)Series Code: SH_DYN_NMRTRelease Version: 2020.Q2.G.03This 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 3.2.2: Neonatal mortality rateTarget 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsGoal 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/

Since 2001, the number of live births being recorded in London has changed from 104,162 to 104,246 births per year. The proportion of births which were to mothers who had been born outside the UK has changed from 43% in 2001 to 59% in the most recent year (2023). In 2023, the region of origin which supplied the largest number of births to non-UK-born mothers in London was Asia with 24,004, followed by the Africa which provided 10,596. The region of origin which has seen the largest change since 2001 is the Asia, which went from 13,489 live births per year in 2001 to 24,004 in 2023. In 2023, the region with the largest number of births to non-UK-born mothers was London with 61,357 live births (59% of all live births in London). By contrast, the region with the lowest number of births to non-UK-born mothers was the Wales with 3,891 live births to non-UK-born mothers, which only represented 14% of all live births in that region. The data shows that London accounted for 33% of all the births to non-UK-born mothers in England and Wales in 2023, which was a far higher proportion than any other region. These data also highlight a couple of other interesting comparisons. Firstly, despite being the second largest region in England and Wales in terms of population, London is not the region with the largest number of births to UK-born mothers. Secondly, London is the only region to have relatively large numbers of mothers from every region of the world according to the way in which the ONS has categorised them, including Africa, non-EU European countries (such as Turkey and Russia) and the 'Rest of the World' (which includes the Americas and Oceania). The data comparing London with England & Wales excluding London and England & Wales as a whole (including London) is provided in the table below: Total Births - UK Mothers Total Births - Overseas Mothers

Dataset population: Persons aged 16 and over

Age

Age is derived from the date of birth question and is a person's age at their last birthday, at 27 March 2011. Dates of birth that imply an age over 115 are treated as invalid and the person's age is imputed. Infants less than one year old are classified as 0 years of age.

Country of birth

Country of birth is the country in which a person was born. This topic records whether the person was born in or if they were not born in a country.

For the full country of birth classification in England and Wales, please see the National Statistics Country Classification.

Economic activity

Economic activity relates to whether or not a person who was aged 16 and over was working or looking for work in the week before census. Rather than a simple indicator of whether or not someone was currently in employment, it provides a measure of whether or not a person was an active participant in the labour market.

A person's economic activity is derived from their 'activity last week'. This is an indicator of their status or availability for employment - whether employed, unemployed, or their status if not employed and not seeking employment. Additional information included in the economic activity classification is also derived from information about the number of hours a person works and their type of employment - whether employed or self-employed.

The census concept of economic activity is compatible with the standard for economic status defined by the International Labour Organisation (ILO). It is one of a number of definitions used internationally to produce accurate and comparable statistics on employment, unemployment and economic status.

The proportion of births attended by skilled healthcare personnel is sourced from the United Nations Statistics website under data related to Sustainable Development Goals. This data is related to Goal 3, “Ensure healthy lives and promote well-being for all at all ages”, and falls under target 3.1, “By 2030, reduce the global maternal mortality ratio to less than 70 per 100,000 live births.” Gathering data regarding the proportion of births attended by skilled healthcare personnel can help to achieve these goals by identifying where there are care gaps and what conditions are risk factors for an increased rate of maternal mortality. National-level household surveys are the main data sources used to collect data for skilled health personnel. These surveys include Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), Reproductive Health Surveys (RHS) and other national surveys based on similar methodologies. Surveys are undertaken every 3 to 5 years. Data sources also include routine service statistics Population-based surveys is the preferred data source in countries with a low utilization of childbirth services, where private sector data are excluded from routine data collection, and/or with weak health information systems. These surveys include Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), Reproductive Health Surveys (RHS) and other national surveys based on similar methodologies. In MICS, DHS and similar surveys, the respondent is asked about the last live birth and who helped during delivery for a period up to five years before the interview. The surveys are generally undertaken every 3 to 5 years. Routine service/facility records is a more common data source in countries where a high proportion of births occur in health facilities and are therefore recorded. These data can be used to track the indicator on an annual basis.This data set is just one of the many datasets on the Global Midwives Hub, a digital resource with open data, maps, and mapping applications (among other things), to support advocacy for improved maternal and newborn services, supported by the International Confederation of Midwives (ICM), UNFPA, WHO, and Direct Relief.

Series Name: Proportion of births attended by skilled health personnel (percent)Series Code: SH_STA_BRTCRelease Version: 2020.Q2.G.03This 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 3.1.2: Proportion of births attended by skilled health personnelTarget 3.1: By 2030, reduce the global maternal mortality ratio to less than 70 per 100,000 live birthsGoal 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/

This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. Infant Mortality is defined as the number of deaths in infants under one year of age per 1,000 live births. Infant mortality is often used as an indicator to measure the health and well-being of a community, because factors affecting the health of entire populations can also impact the mortality rate of infants. Although California’s infant mortality rate is better than the national average, there are significant disparities, with African American babies dying at more than twice the rate of other groups. Data are from the Birth Cohort Files. The infant mortality indicator computed from the birth cohort file comprises birth certificate information on all births that occur in a calendar year (denominator) plus death certificate information linked to the birth certificate for those infants who were born in that year but subsequently died within 12 months of birth (numerator). Studies of infant mortality that are based on information from death certificates alone have been found to underestimate infant death rates for infants of all race/ethnic groups and especially for certain race/ethnic groups, due to problems such as confusion about event registration requirements, incomplete data, and transfers of newborns from one facility to another for medical care. Note there is a separate data table "Infant Mortality by Race/Ethnicity" which is based on death records only, which is more timely but less accurate than the Birth Cohort File. Single year shown to provide state-level data and county totals for the most recent year. Numerator: Infants deaths (under age 1 year). Denominator: Live births occurring to California state residents. Multiple years aggregated to allow for stratification at the county level. For this indicator, race/ethnicity is based on the birth certificate information, which records the race/ethnicity of the mother. The mother can “decline to state”; this is considered to be a valid response. These responses are not displayed on the indicator visualization.

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.

This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year.

DEFINITIONS

Estimated teen birth rate: Model-based estimates of teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) for a specific county and year. Estimated county teen birth rates were obtained using the methods described elsewhere (1,2,3,4). These annual county-level teen birth estimates “borrow strength” across counties and years to generate accurate estimates where data are sparse due to small population size (1,2,3,4). The inferential method uses information—including the estimated teen birth rates from neighboring counties across years and the associated explanatory variables—to provide a stable estimate of the county teen birth rate. Median teen birth rate: The middle value of the estimated teen birth rates for the age group 15–19 for counties in a state. Bayesian credible intervals: A range of values within which there is a 95% probability that the actual teen birth rate will fall, based on the observed teen births data and the model.

NOTES

Data on the number of live births for women aged 15–19 years were extracted from the National Center for Health Statistics’ (NCHS) National Vital Statistics System birth data files for 2003–2015 (5).

Population estimates were extracted from the files containing intercensal and postcensal bridged-race population estimates provided by NCHS. For each year, the July population estimates were used, with the exception of the year of the decennial census, 2010, for which the April estimates were used.

Hierarchical Bayesian space–time models were used to generate hierarchical Bayesian estimates of county teen birth rates for each year during 2003–2015 (1,2,3,4).

The Bayesian analogue of the frequentist confidence interval is defined as the Bayesian credible interval. A 100*(1-α)% Bayesian credible interval for an unknown parameter vector θ and observed data vector y is a subset C of parameter space Ф such that 1-α≤P({C│y})=∫p{θ │y}dθ, where integration is performed over the set and is replaced by summation for discrete components of θ. The probability that θ lies in C given the observed data y is at least (1- α) (6).

County borders in Alaska changed, and new counties were formed and others were merged, during 2003–2015. These changes were reflected in the population files but not in the natality files. For this reason, two counties in Alaska were collapsed so that the birth and population counts were comparable. Additionally, Kalawao County, a remote island county in Hawaii, recorded no births, and census estimates indicated a denominator of 0 (i.e., no females between the ages of 15 and 19 years residing in the county from 2003 through 2015). For this reason, Kalawao County was removed from the analysis. Also , Bedford City, Virginia, was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. For consistency, Bedford City was merged with Bedford County, Virginia, for the entire 2003–2015 period. Final analysis was conducted on 3,137 counties for each year from 2003 through 2015. County boundaries are consistent with the vintage 2005–2007 bridged-race population file geographies (7).

Geographic coverage

National Coverage

Universe

The target population is all births recorded on the NPR between 1998 and 2010 for South African citizens and permanent residents, regardless of which year the birth occurred. All births that occurred in South Africa with parents being non-South African citizens or not permanent residents were excluded.

Sampling procedure

The registration of births in South Africa is governed by the Births and Deaths Registration Act, 1992 (Act No. 51 of 1992), as amended, and is administered by the Department of Home Affairs (DHA) using Form DHA-24 (Notice of birth), which recently replaced Form BI-24 that was previously used. Notice of the birth must be given by one of the parents or; if neither parent is available to do so, the person having charge of the child or a person requested by the parents to do so. The person requested to register the birth must have a written mandate from the child's parents which must also include the reasons why neither of the parents is in a position to register the birth. The birth of a child outside the country; where at least one parent is a South African citizen; can be registered at any South African Mission abroad.Documentary proof in the form of a birth certificate of the foreign country must accompany the Notice of Birth.

The Act states that a child must be registered within 30 days of birth. Where the notice of a birth is given after the expiration of 30 days from the date of the birth, the Director-General may demand that reasons for the late notice be furnished and that the fingerprints be taken of the person whose notice of birth is given. Where the notice of a birth is given for a person aged 15 years and older, the birth shall be registered if it complies with the prescribed requirements for a late registration of birth.

Following the registration of a birth, a birth certificate is issued by the DHA. Citizens and permanent residents receive computer-printed abridged birth certificates and non-citizens receive handwritten certificates. The information of South African citizens and permanent residents is captured on the National Population Register (NPR).

The following persons and particulars are eligible to be included on the NPR:

• All children born of South African citizens and permanent residents when the notice of the birth is given within one year after the birth of the child.

• All children born of South African citizens and permanent residents when the notice of the birth is given one year after the birth of the child; together with the prescribed requirement for a late registration of birth.

• All South African citizens and permanent residents who, upon attainment of the age of 16, applied for and were granted identification cards (or books).

• All South African citizens and permanent residents who die at any age after birth.

• All South African citizens and permanent residents who depart permanently from South Africa.

The DHA captures information on places based on magisterial districts using the twelfth edition of the Standard Code List of Areas (Central Statistics Services, 1995). Stats SA then recodes the magisterial districts into district councils (DCs), metropolitan areas (metros) and provinces based on the 2011 municipal boundaries. The data sets for 1998 to 2010 have all been recoded according to the 2011 municipal boundaries.

It should be noted that the distribution of births by DCs, metros and provinces are approximate figures; as there was no perfect match of magisterial districts for all DCs, metros and provinces since some magisterial districts are situated in more than one DC, metro or province. Such magisterial districts were allocated to the district council where the majority of the land area falls (see the folder on maps). The only exception was with Nigel in Gauteng province. The majority of the land area of Nigel magisterial district is in Sedibeng district council (which is mainly farm areas and therefore sparsely populated) while the majority of the population lives in Ekurhuleni metropolitan area. As such, Nigel was classified to Ekurhuleni and not Sedibeng.

Magisterial district of birth refers to the district of birth occurrence for births registered before 15 years of age. For those that were registered from 15 years of age, district refers to the district of birth registration. Furthermore, from 2009, the processing of late birth registrations from age 15 were centralised at the DHA head office in Pretoria. As such, the late birth registrations processed in Pretoria from 15 years have a district code of Pretoria; even if they occurred in other areas. There were a few exceptional cases which were registered in Pretoria; but were not captured using the Pretoria code.

Mode of data collection

Other [oth]

Research instrument

NOTICE OF BIRTH - [Births and Deaths Registration Act 51 of 1992]

A. DETAILS OF THE CHILD

B. DETAILS OF FATHER (PARENT A)

C. DETAILS OF MOTHER (PARENT B)

D. ACKNOWLEDGEMENT OF PATERNITY OF A CHILD BORN OUT OF WEDLOCK

E. DETAILS OF THE LEGAL GUARDIAN/SOCIAL WORKER*

F. DECLARATION

G. FOR OFFICIAL USE ONLY - OFFICE OF ORIGIN

Cleaning operations

Data capturing of information on births is done by DHA officials. The data is captured directly onto the Population Register Database at Nucleus Bureau. These transactions are used to update the database of the NPR and the population register database. As soon as the DHA has captured the data; the data is made available on the mainframe. The data is then downloaded via ftp; or collected from the State Information Technology Agency (SITA) written on a CD by Stats SA. For the purpose of producing vital statistics, the following system is followed: all the civil transactions carried out at all DHA offices are written onto a cassette every day. At the end of every month, a combined set of cassettes is created containing all the transactions done for the month. These transactions are downloaded and the birth transactions are extracted for processing at Stats SA. The year in which the births are registered is the registration year. Using this information, Stats SA provides a breakdown of the registered births according to the year in which the births occurred.

While birth information sent to Stats SA is the same as that in the population register, there is a difference in the format between the two. On one hand, Stats SA’s data are based on births registered during the year (registration-based), while on the other hand, entries in the population register reflect the date of birth.

Data appraisal

Users are cautioned on the following limitations of the data:

• Father’s age had a high percentage of cases where information was unspecified or unknown for all the years.
• Data for 1998 and 1999 have incorrect information on month of birth, which could not be resolved.

Note: - Unknown : refers to cases where the answer provided is not correct or not possible given the options available. - Unspecified: refers to cases where no response was given.

Percentage of Live Births with Low Birthweight.

This dataset contains percentages of low birthweight (less than 2500 grams) live births since 1999.

Allocation to geographical area is based on mother’s place of usual residence.

The percentage of low birthweight live births is calculated as the number of low birthweight live births divided by the total number of live births where birthweight is stated, and expressed as a percentage.

An association has also been shown between low birth weight and adverse health in later childhood and adulthood.

Births for the City of London have been included with those for Hackney.