View yearly updates and historical trends for Florida Establishment Birth Rate. Source: Census Bureau. Track economic data with YCharts analytics.

In the United States, the crude birth rate in 1800 was 48.3 live births per thousand people, meaning that 4.8 percent of the population had been born in that year. Between 1815 and 1825 the crude birth rate jumped from 46.5 to 54.7 (possibly due to Florida becoming a part of the US, but this is unclear), but from this point until the Second World War the crude birth rate dropped gradually, reaching 19.2 in 1935. Through the 1940s, 50s and 60s the US experienced it's baby boom, and the birth rate reached 24.1 in 1955, before dropping again until 1980. From the 1980s until today the birth rate's decline has slowed, and is expected to reach twelve in 2020, meaning that just over 1 percent of the population will be born in 2020.

Abstract (en): This collection provides information on live births in the United States during calendar year 1979. The natality data in this file are a component of the vital statistics collection effort implemented by the federal government. Geographic variables of residence for births include the state, county, city, population, division and state subcode, Standard Metropolitan Statistical Area (SMSA), and metropolitan/non- metropolitan county. Other variables include the race and sex of the child, age and education of the mother, place of delivery, person in attendance, and live-birth order. The natality tabulations in the documentation include live births by age of mother, live-birth order, and race of child, live births by marital status of mother, age of mother, and race of child, and live births by attendant and place of delivery. 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: Performed consistency checks.. Live births in the United States during calendar year 1979. Fifty percent of birth certificates for calendar 1979 for most states. Colorado, Florida, Illinois, Iowa, Kansas, Maine, Michigan, Missouri, Montana, Nebraska, New Hampshire, New York, Oregon, Rhode Island, South Carolina, and Vermont submitted 100 percent of birth certificates for calendar 1979. (1) This collection has not been processed by ICPSR staff. ICPSR is distributing the data and documentation for this collection in essentially the same form in which they were received. When appropriate, documentation has been converted to Portable Document Format (PDF), data files have been converted to non-platform-specific formats, and variables have been recoded to ensure respondents' anonymity. (2) Per agreement with NCHS, ICPSR distributes the data file(s) and text of the technical documentation for this collection as prepared by NCHS. (3) The codebook is provided by the principal investigator as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

This dataset tracks annual free lunch eligibility from 2009 to 2020 for Arc Birth-3 vs. Florida and Marion School District

About this dataset

Context

The dataset tabulates the population of Palm Beach by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Palm Beach. The dataset can be utilized to understand the population distribution of Palm Beach by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Palm Beach. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Palm Beach.

Key observations

Largest age group (population): Male # 75-79 years (698) | Female # 65-69 years (826). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Palm Beach population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Palm Beach is shown in the following column.
• Population (Female): The female population in the Palm Beach is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Palm Beach for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Palm Beach Population by Gender. You can refer the same here

Data and replication files for:Buckles, Kasey, Melanie Guldi, and Lucie Schmidt. and Elizabeth L. Munnich. "The Great Recession's Baby-less Recovery: The Role of Unintended Births." Journal of Human Resources, forthcoming.

Yearly citation counts for the publication titled "Birth Order and Delinquency: Evidence from Denmark and Florida".

A polygon feature class based on Zip Code boundaries showing the percentage of babies born to teenaged mothers (ages 13-18) in Miami-Dade County in 2010.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

This dataset tracks annual white student percentage from 2010 to 2020 for Arc Birth-3 vs. Florida and Marion School District

In 2022, there were around 368 abortions per 1,000 live births in the state of Florida. In comparison, Missouri reported just one abortion per 1,000 live births. This statistic shows the ratio of abortion in the United States in 2022, by state, which is the number of abortions per 1,000 live births.

These files contain patient level information for selected procedures for the years 1988-1990. For this cumulative file the conditions are: normal births, cesarean births, hysterectomy, dilation and curettage, diabetes mellitus, ashtma, and hypertension. The DRG codes are: 370-384, 294-295, 354-359, 96-98, and 134. It is possible there are errors on the tape. The data were obtained by a graduate student at Cornell with the assistance of the College of Human Ecology and CISER. The files were prepared by the Florida Hospital Association.

This dataset tracks annual asian student percentage from 2010 to 2016 for Arc Birth-3 vs. Florida and Marion School District

DEC. 22, 2022 – After a historically low rate of change between 2020 and 2021, the U.S. resident population increased by 0.4%, or 1,256,003, to 333,287,557 in 2022, according to the U.S. Census Bureau’s Vintage 2022 national and state population estimates and components of change released today.

Net international migration — the number of people moving in and out of the country — added 1,010,923 people between 2021 and 2022 and was the primary driver of growth. This represents 168.8% growth over 2021 totals of 376,029 – an indication that migration patterns are returning to pre-pandemic levels. Positive natural change (births minus deaths) increased the population by 245,080.

“There was a sizeable uptick in population growth last year compared to the prior year’s historically low increase,” said Kristie Wilder, a demographer in the Population Division at the Census Bureau. “A rebound in net international migration, coupled with the largest year-over-year increase in total births since 2007, is behind this increase.”

Regional Patterns The South, the most populous region with a resident population of 128,716,192, was the fastest-growing and the largest-gaining region last year, increasing by 1.1%, or 1,370,163. Positive net domestic migration (867,935) and net international migration (414,740) were the components with the largest contributions to this growth, adding a combined 1,282,675 residents.

The West was the only other region to experience growth in 2022, having gained 153,601 residents — an annual increase of 0.2% for a total resident population of 78,743,364 — despite losing 233,150 residents via net domestic migration (the difference between residents moving in and out of an area). Natural increase (154,405) largely accounted for the growth in the West.

The Northeast, with a population of 57,040,406, and the Midwest, with a population of 68,787,595, lost 218,851 (-0.4%) and 48,910 (-0.1%) residents, respectively. The declines in these regions were due to negative net domestic migration.

Changes in State Population Increasing by 470,708 people since July 2021, Texas was the largest-gaining state in the nation, reaching a total population of 30,029,572. By crossing the 30-million-population threshold this past year, Texas joins California as the only states with a resident population above 30 million. Growth in Texas last year was fueled by gains from all three components: net domestic migration (230,961), net international migration (118,614), and natural increase (118,159).

Florida was the fastest-growing state in 2022, with an annual population increase of 1.9%, resulting in a total resident population of 22,244,823.

“While Florida has often been among the largest-gaining states,” Wilder noted, “this was the first time since 1957 that Florida has been the state with the largest percent increase in population.”

It was also the second largest-gaining state behind Texas, with an increase of 416,754 residents. Net migration was the largest contributing component of change to Florida’s growth, adding 444,484 residents. New York had the largest annual numeric and percent population decline, decreasing by 180,341 (-0.9%). Net domestic migration (-299,557) was the largest contributing component to the state’s population decline.

Eighteen states experienced a population decline in 2022, compared to 15 and DC the prior year. California, with a population of 39,029,342, and Illinois, with a population of 12,582,032, also had six-figure decreases in resident population. Both states’ declining populations were largely due to net domestic outmigration, totaling 343,230 and 141,656, respectively.

Puerto Rico Population Changes In 2022, Puerto Rico’s population was 3,221,789. This reflects a decrease of 1.3%, or 40,904 people, between 2021 and 2022.

Puerto Rico’s population decline resulted from negative net international migration (-26,447) and negative natural change (-14,457), where deaths outnumber births.

                            **###Components of Change for States**

In 2022, 24 states experienced negative natural change, or natural decrease. Florida had the highest natural decrease at -40,216, followed by Pennsylvania (-23,021) and Ohio (-19,543). In 2021, 25 states had natural decrease.

Of the 26 states and the District of Columbia where births outnumbered deaths, Texas (118,159), California (106,155) and New York (35,611) had the highest natural increase.

All 50 states and the District of Columbia saw positive net international migration with California (125,715), Florida (125,629) and Texas (118,614) having the largest gains.

The biggest gains from net domestic migration last year were in Florida (318,855), Texas (230,961) and North Carolina (99,796), while the biggest losses were in California (-343,230), New York (-299,557) and Illinois...

A polygon feature class based on zip code boundaries showing the percentage of babies born in Miami-Dade County in 2010 with low birth weights. Low birth weight is classified as under 2501 grams.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

This dataset tracks annual black student percentage from 2010 to 2020 for Arc Birth-3 vs. Florida and Marion School District

About this dataset

Context

The dataset tabulates the data for the Fort Lauderdale, FL population pyramid, which represents the Fort Lauderdale population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Fort Lauderdale, FL, is 20.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Fort Lauderdale, FL, is 28.8.
• Total dependency ratio for Fort Lauderdale, FL is 49.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Fort Lauderdale, FL is 3.5.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

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

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Fort Lauderdale Population by Age. You can refer the same here

This dataset tracks annual diversity score from 2010 to 2020 for Arc Birth-3 vs. Florida and Marion School District

This dataset tracks annual hispanic student percentage from 2010 to 2020 for Arc Birth-3 vs. Florida and Marion School District