The 1965 National Fertility Survey was the first of three surveys that succeeded the Growth of American Families surveys (1955 and 1960) aimed at examining marital fertility and family planning in the United States. Currently married women were queried on the following main topics: residence history, marital history, education, income and employment, family background, religiosity, attitudes toward contraception and sterilization, birth control pill use and other methods of contraception, fecundity, family size, fertility expectations and intentions, abortion, and world population growth. Respondents were asked about their residence history, including what state they grew up in, whether they had lived with both of their parents at the age of 14, and whether they had spent any time living on a farm. Respondents were also asked a series of questions about their marital history. Specifically, they were asked about the duration of their current marriage, whether their current marriage was their first marriage, total number of times they had been married, how previous marriages ended, length of engagement, and whether their husband had children from a previous marriage. Respondents were asked what was the highest grade of school that they had completed, whether they had attended a co-ed college, and to give the same information about their husbands. Respondents were asked about their 1965 income, both individual and combined, their occupation, whether they had been employed since marriage, if and when they stopped working, and whether they were self-employed. They were also asked about their husband's recent employment status. With respect to family background, respondents were asked about their parents' and their husband's parents' nationalities, education, religious preferences, and total number children born alive to their mother and mother-in-law, respectively. In addition, respondents were asked about their, and their husband's, religious practices including their religious preferences, whether they had ever received any Catholic education, how religious-minded they perceived themselves to be, how often they prayed at home, and how often they went to see a minister, rabbi, or priest. Respondents were asked to give their opinions with respect to contraception and sterilization. They were asked whether they approved or disapproved of contraception in general, as well as specific forms of contraception, whether information about birth control should be available to married and unmarried couples, and whether the federal government should support birth control programs in the United States and in other countries. They were also asked whether they approved or disapproved of sterilization operations for men and women and whether they thought such a surgery would impair a man's sexual ability. Respondents were asked about their own knowledge and use of birth control pills. They were asked if they had ever used birth control pills and when they first began using them. They were then asked to give a detailed account of their use of birth control pills between 1960 and 1965. Respondents were also asked to explain when they discontinued use of birth control pills and what the motivation was for doing so. Respondents were also asked about their reproductive cycle, the most fertile days in their cycle, the regularity of their cycle, and whether there were any known reasons why they could not have or would have problems having children. Respondents were asked about their ideal number of children, whether they had their ideal number of children or if they really wanted fewer children, as well as whether their husbands wanted more or less children than they did. Respondents were then asked how many additional births they expected, how many total births they expected, when they expected their next child, and at what age they expected to have their last child. Respondents were asked how they felt about interrupting a pregnancy and whether they approved of abortion given different circumstances such as if the pregnancy endangered the woman's health, if the woman was not married, if the couple could not afford another child, if the couple did not want another child, if the woman thought the child would be deformed, or if the woman had been raped. Respondents were also asked to share their opinions with respect to world population growth. T

This data collection provides selected economic, social, demographic, and political information for 48 states of the United States during the 1950s and 1960s. Variables describe population characteristics, such as the number of adults aged 65 and over, the number of dentists and physicians, the number of patients in mental hospitals, the death rates of white and non-white infants under one year of age per 1,000 live births, respectively, the number of recipients of public assistance such as Aid to Families with Dependent Children (AFDC), elementary and secondary school enrollment, enrollment in vocational programs, the total number of students in higher education, the number of those conferred with M.A. and Ph.D. degrees, and the number of workers in research experiment stations. Other variables provide economic information, such as personal income per capita, average monthly payment per recipient of some public assistance programs, average salary per month for full-time state and local employees, state and local government revenues and expenditures, and various intergovernmental revenues from the federal government for certain services. Additional variables record crime statistics, such as the number of robbery, burglary, larceny, auto theft, assault, rape, and murder offenses per 100,000 of the population. There are also variables that give information on each state's topography, such as the acreage of state parks, total farm acreage, municipal road mileage, and total unsurfaced road mileage.

In 2023, New Caledonia, a French overseas territory made up of dozens of islands in the South Pacific, had a population of over 268,000. The territory's population has been steadily growing since 1965 and has increased threefold during this period. More data on Overseas France can be found here.

Complete estimates of waterfowl populations in each of 164 management units through the forty-eight coterminous United States were systematically developed for May 1965 and each month from August 1965 through April 1966. Estimates were made for all duck species except sea ducks, mergansers, Florida, mottled, and Mexican ducks; for all species of geese, except Ross's geese; and for American coots.

Chart and table of population level and growth rate for the state of California from 1900 to 2024.

"The 1965 National Fertility Study was an attempt to measure four fertility variables: 1) the number of children a woman intends to have; 2) the number she expects to have; 3) the number she would really desire; and 4) the number she considers ideal for the average American family.""The 1965 NFS is compatible with the earlier 1955 and 1960 Growth of American Families survey and the basic measures reported in these GAF studies have been replicated in the 1965 survey. One of the principa l departures of the 1965 NFS from its predecessors is that the latter focused in part on the task of devising a variable for forecasting fertility-expected parity as a way to complete the fertility histories of the younger and therefore incomplete cohorts of United State women. Factual questions include information on the following: age; education; income; occupation and employment history; residence history; religious preference and attendance; and parent's religion, education and nationality."

About this dataset

Context

The dataset tabulates the Williamsport population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Williamsport across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Williamsport was 1,965, a 0.36% increase year-by-year from 2022. Previously, in 2022, Williamsport population was 1,958, an increase of 0.46% compared to a population of 1,949 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Williamsport decreased by 10. In this period, the peak population was 1,977 in the year 2001. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Williamsport is shown in this column.
• Year on Year Change: This column displays the change in Williamsport population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Williamsport Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Java town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Java town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Java town was 1,957, a 0.71% decrease year-by-year from 2021. Previously, in 2021, Java town population was 1,971, an increase of 0.31% compared to a population of 1,965 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Java town decreased by 268. In this period, the peak population was 2,225 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Java town is shown in this column.
• Year on Year Change: This column displays the change in Java town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Java town Population by Year. You can refer the same here

Chart and table of population level and growth rate for the state of Florida from 1900 to 2024.

These data examine the effects on total crime rates of changes in the demographic composition of the population and changes in criminality of specific age and race groups. The collection contains estimates from national data of annual age-by-race specific arrest rates and crime rates for murder, robbery, and burglary over the 21-year period 1965-1985. The data address the following questions: (1) Are the crime rates reported by the Uniform Crime Reports (UCR) data series valid indicators of national crime trends? (2) How much of the change between 1965 and 1985 in total crime rates for murder, robbery, and burglary is attributable to changes in the age and race composition of the population, and how much is accounted for by changes in crime rates within age-by-race specific subgroups? (3) What are the effects of age and race on subgroup crime rates for murder, robbery, and burglary? (4) What is the effect of time period on subgroup crime rates for murder, robbery, and burglary? (5) What is the effect of birth cohort, particularly the effect of the very large (baby-boom) cohorts following World War II, on subgroup crime rates for murder, robbery, and burglary? (6) What is the effect of interactions among age, race, time period, and cohort on subgroup crime rates for murder, robbery, and burglary? (7) How do patterns of age-by-race specific crime rates for murder, robbery, and burglary compare for different demographic subgroups? The variables in this study fall into four categories. The first category includes variables that define the race-age cohort of the unit of observation. The values of these variables are directly available from UCR and include year of observation (from 1965-1985), age group, and race. The second category of variables were computed using UCR data pertaining to the first category of variables. These are period, birth cohort of age group in each year, and average cohort size for each single age within each single group. The third category includes variables that describe the annual age-by-race specific arrest rates for the different crime types. These variables were estimated for race, age, group, crime type, and year using data directly available from UCR and population estimates from Census publications. The fourth category includes variables similar to the third group. Data for estimating these variables were derived from available UCR data on the total number of offenses known to the police and total arrests in combination with the age-by-race specific arrest rates for the different crime types.

CU: Population: Female: Ages 70-74: % of Female Population data was reported at 4.429 % in 2023. This records an increase from the previous number of 4.338 % for 2022. CU: Population: Female: Ages 70-74: % of Female Population data is updated yearly, averaging 2.356 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 4.429 % in 2023 and a record low of 1.124 % in 1965. CU: Population: Female: Ages 70-74: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cuba – Table CU.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 70 to 74 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2022 Revision.;;

Japan Population Census: Age 15 to 19 Years data was reported at 6,008,388.000 Person in 2015. This records a decrease from the previous number of 6,063,357.000 Person for 2010. Japan Population Census: Age 15 to 19 Years data is updated yearly, averaging 7,884,538.000 Person from Dec 1920 (Median) to 2015, with 20 observations. The data reached an all-time high of 10,947,996.000 Person in 1965 and a record low of 5,419,057.000 Person in 1920. Japan Population Census: Age 15 to 19 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G002: Population: Annual.

The purpose of this survey was to explore the influence of health practices and social relationships on the physical and mental health of a typical sample of the population in Alameda County, California. The information obtained for the 6,928 respondents (including approximately 500 women aged 65 years and older) covers chronic health conditions, health behaviors, social involvements, and psychological characteristics. Questions were asked about marital and life satisfaction, parenting, physical activities, employment, and childhood experiences. Demographic variables include data on respondetns' age, race, height, weight, education, income, and religion.

United States Current Population Survey: Population: Female: 25 to 34 Yrs data was reported at 22,365.000 Person th in Jun 2018. This records an increase from the previous number of 22,347.000 Person th for May 2018. United States Current Population Survey: Population: Female: 25 to 34 Yrs data is updated monthly, averaging 19,445.500 Person th from Jan 1948 (Median) to Jun 2018, with 846 observations. The data reached an all-time high of 22,365.000 Person th in Jun 2018 and a record low of 11,213.000 Person th in Jul 1965. United States Current Population Survey: Population: Female: 25 to 34 Yrs data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G007: Current Population Survey: Population.

About this dataset

Context

The dataset tabulates the Tavares population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Tavares. The dataset can be utilized to understand the population distribution of Tavares by age. For example, using this dataset, we can identify the largest age group in Tavares.

Key observations

The largest age group in Tavares, FL was for the group of age 70 to 74 years years with a population of 1,965 (10.29%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Tavares, FL was the 10 to 14 years years with a population of 656 (3.44%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

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 in consideration
• Population: The population for the specific age group in the Tavares is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Tavares total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Tavares Population by Age. You can refer the same here

IT: Population: Female: Ages 45-49: % of Female Population data was reported at 7.932 % in 2017. This records a decrease from the previous number of 7.958 % for 2016. IT: Population: Female: Ages 45-49: % of Female Population data is updated yearly, averaging 6.533 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.974 % in 2014 and a record low of 4.845 % in 1965. IT: Population: Female: Ages 45-49: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank: Population and Urbanization Statistics. Female population between the ages 45 to 49 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

Judgement on the further development in Berlin as well as assessment of the attitude of the FRG and the western powers to Berlin.

Topics: Assessment of the short-term as well as long-term political and economic development of Berlin; judgement on the bond of Berlin with the Federal Republic; assumed attitudes of the governments in France, England, the USA and the Federal Republic to Berlin; significance of the presence of the western powers for one´s remaining in Berlin; party preference.

Also encoded was: date of interview.

This data collection provides information on the participation of 25 African member nations of the United Nations (UN) in the UN in the period 1961-1965. Data are provided for national attributes, and forms of participation in the UN. National attributes data provide information on the gross national product (GNP), United States' economic and military aids received, size of the armed forces, population size, number of physicians per 100 inhabitants, and school enrollment as a percentage of the population. Data on participation in the UN include the number of representatives from each nation in the UN, number of offices won, and resolutions and amendments passed.

Armenia AM: Population: as % of Total: Female: Aged 15-64 data was reported at 66.852 % in 2023. This records a decrease from the previous number of 66.974 % for 2022. Armenia AM: Population: as % of Total: Female: Aged 15-64 data is updated yearly, averaging 64.788 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 70.738 % in 2011 and a record low of 56.252 % in 1965. Armenia AM: Population: as % of Total: Female: Aged 15-64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Armenia – Table AM.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Turkey TR: Population: Female: Ages 45-49: % of Female Population data was reported at 6.249 % in 2017. This records an increase from the previous number of 6.152 % for 2016. Turkey TR: Population: Female: Ages 45-49: % of Female Population data is updated yearly, averaging 4.323 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 6.249 % in 2017 and a record low of 3.463 % in 1965. Turkey TR: Population: Female: Ages 45-49: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Turkey – Table TR.World Bank: Population and Urbanization Statistics. Female population between the ages 45 to 49 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;