Rates are infants (under 1 year) and neonatal (under 28 days) deaths per 1,000 live births. https://www.cdc.gov/nchs/data-visualization/mortality-trends/

This project contains a city-level panel dataset of deaths-by-cause from the U.S. Census Bureau for the years 1915 to 1938, annually, as reported in the publication “Mortality Statistics.” For some cities, the data is available separately for white and non-white deaths. This data is based on transcripts of death certificates received by the Census Bureau from certain areas of the country called “registration areas.” In 1918, the data covers an estimated population of 82,091,523, or 77.8% total estimated population of the United States, and includes 30 states, the District of Columbia, and 27 cities in nonregistration states. States and cities are added over time, so the panel is not complete. When data is reported based on white and non-white deaths, the majority (95%+) are Blacks (1918, page 11).

All birth data by race before 1980 are based on race of the child; starting in 1980, birth data by race are based on race of the mother. Birth data are used to calculate infant mortality rate. https://www.cdc.gov/nchs/data-visualization/mortality-trends/

This dataset includes percent distribution of births for females by age group in the United States since 1933.

The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.

SOURCES

NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/).

REFERENCES

1. National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf.

2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf.

3. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf.

4. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.

5. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf.

6. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

This dataset includes crude birth rates and general fertility rates in the United States since 1909.

The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.

Environmental Analysis Data: These data were compiled to investigate the complex interactions between environmental gradients and geographic distance across the Intermountain West of the western United States. Due to complex topography, physiographic heterogeneity, and complicated relationships with large bodies of water, spatial autocorrelation of environmental similarity may be expected. We provide an R script (VarioAnalysis.R) that uses four associated data files (annualprecip.csv, annualSWA.csv, annualtemp.csv, key.csv) to reproduce Figure 3 in Massatti et al. 2020 (see Larger Work Citation). The data files contain information on yearly soil water availability, temperature, and precipitation, which are summed or averaged and used to test autocorrelations using semi variograms. There is also a shapefile (see Source Data) and raster (RasterbySiteID.tif) that ties all of the site-specific information together and places data into a spatial context. The script and data were developed, extracted, and/or compiled by R.K. Shriver. Genetic Analysis Data: These data were compiled to assess the relationship between genetic differentiation and geographic distance in the Intermountain West of the western United States. Included are 14 files: 13 tab-delimited text files that detail species-specific data and one R script (czi.R) that uses data within the 13 files to reproduce Figures 1 and 2 in Massatti et al. 2020 (see Larger Work Citation). Species-specific files include site names, _location information (latitude/longitude), and information on which genetic population each site belongs to according to the original publication document (see Table 1 in the Larger Work Citation). The R script is annotated to provide important information regarding how the analyses work and how they can be modified if users want to tailor analyses to other geographic regions. The script and data were developed, extracted, and/or compiled by R. Massatti.

This dataset includes birth rates for females by age group in the United States since 1940.

The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.

Analysis of ‘NCHS - Infant and neonatal mortality rates: United States, 1915-2013’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a3696ac9-7f95-4901-96cf-ed17b8ade74f on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Rates are infants (under 1 year) and neonatal (under 28 days) deaths per 1,000 live births.

https://www.cdc.gov/nchs/data-visualization/mortality-trends/

--- Original source retains full ownership of the source dataset ---

This dataset contains cells for counts of vital events by U.S. county and year from 1915-2007. Vital events include the live births, infant deaths, and all-age deaths. When sources allow, data are disaggregated by county of occurrence, county of residence, and race.

On 2016-08-20, the openICPSR web site was moved to new software. In the migration process, some projects were not published in the new system because the decisions made in the old site did not map easily to the new setup. An ICPSR staff member manually published these projects, taking care to preserve the original wishes of the depositor.

ABSTRACT This article discusses and tells the transposition of an ideal historical method typical of the departments of history and education, colleges and normal schools to the printed documents destined for initial and continuing training of history teachers in the United States of America, between 1870 and 1916. Through the linguistic examination of the Union reports and manuals of history teaching methodology, we demonstrated that historians by formation expanded their performance on philosophers, sociologists, political scientists, economists and educators indicating that the heuristic analysis and synthesis should guide the teaching of history, thought and practiced in the United States since the last decade of the nineteenth century.

This dataset tracks the updates made on the dataset "NCHS - Infant Mortality Rates, by Race: United States, 1915-2013" as a repository for previous versions of the data and metadata.

Precipitation (P) gauge undercatch (PUC) is an important source of error when using observed meteorological datasets for hydrologic modeling studies in regions with cold and windy winters. Preliminary simulations using the Variable Infiltration Capacity (VIC) hydrological model forced with different meteorological datasets showed significant underprediction of simulated streamflow throughout the domain. A new hybrid gridded meteorological dataset at 1/16th degree resolution based on observed station data was assembled over the U.S. Midwest and Great Lakes region from 1915-2021 at daily time step. Correction of primary station data using existing techniques is generally difficult or infeasible in the U.S. due to missing station meta-data and lack of local wind speed (WS) measurements. We tested several different post-processing adjustment techniques using regridded WS obtained from NCAR Reanalysis. The most effective approach corrected rain or mixed P using WS alone, and P as snow using a regressed snow-to-P ratio from a group of high-quality reference stations (to account for different and generally unknown snow measurement techniques). The PUC-corrected gridded products were validated against high-quality shielded stations, and corrected GHCN stations with in-situ WS, showing good overall agreement. Validation was also done over 40 river basins using comparisons between observed monthly streamflow and VIC model simulations forced by datasets with and without PUC corrections. The new dataset produced improvements in streamflow simulations in at least 80% of the streamflow locations for three validation metrics (R², Nash Sutcliff efficiency, bias in the mean), demonstrating its value for hydrometeorological studies in the greater Midwest region.

Oblique-slip fault produced during the 7.7 magnitude earthquake of 1915, Pleasant Valley, Nevada.

Analysis of ‘NCHS - Births and General Fertility Rates: United States’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/704dd4ab-8519-4c5c-8d00-fbaa83389c06 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset includes crude birth rates and general fertility rates in the United States since 1909.

The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.

SOURCES

NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/).

REFERENCES

1. National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf.

2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf.

3. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf.

4. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.

5. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf.

6. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

--- Original source retains full ownership of the source dataset ---

This dataset provides information on 1,915 in California, United States as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

This dataset tracks the updates made on the dataset "NCHS - Infant and neonatal mortality rates: United States, 1915-2013" as a repository for previous versions of the data and metadata.

NCHS - Infant and neonatal mortality rates: United States, 1915-2013

  Description

Rates are infants (under 1 year) and neonatal (under 28 days) deaths per 1,000 live births. https://www.cdc.gov/nchs/data-visualization/mortality-trends/

  Dataset Details

Publisher: Centers for Disease Control and Prevention Temporal Coverage: 1915/2013 Geographic Coverage: United States Last Modified: 2025-04-21 Contact: National Center for Health Statistics (cdcinfo@cdc.gov)… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/nchs-infant-and-neonatal-mortality-rates-united-st.

The dataset holds data on the cinema-concert program of the Belgian movie theatre Cinema Zoologie. The cinema opened in October 1915, in then German-occupied Antwerp, and remained open continuously until May 1936. It was owned and operated by the Royal Zoological Society of Antwerp and located at the premises of the Antwerp Zoological Garden (Statieplein 1, Antwerp). The venue seated 2100 to 2400 people. The mixed program consisted of films and classical musical pieces.AbbreviationsBelgium (B)Switzerland (CH)DenmarkSpain (E)Italy (I)Morocco (MA)United States (USA)India (IND)Japan (J)The Netherlands (NL)Poland (PL)Russia (RUS)Sweden (S)South Africa (ZA)Great Britain (UK)In case of co-productions, multiple countries are separated by a slash (e.g. D / F for Germany / France). The dataset consists of 5469 individual records (films or music pieces), forming 898 cinema-concert programs. Each record (= each line) in the dataset corresponds to one program element from a Cinema Zoologie program. This can be a film showing, a musical performance, or a theatrical number. (Many of the dataset’s fields are specific to film showings, and hence are left empty in the case of musical or theatrical performances.)Each record has the following fields. When a field is left empty, this means that the information was not available to the researchers.Number: Fixed record numberType: The type of program element (F for film, M for musical performance, T for theatrical performance)Original title: The title of the film (or musical composition, or theatre show) in its original languageDutch title: The Dutch title which was used for presenting the film in the Cinema Zoologie programFrench title: The French title which was used for presenting the film in the Cinema Zoologie programIMDb identifier: The URL that identifies this particular film at the Internet Movie Database (IMDb)Director: The director(s) of the film. When more than one director was involved, the names are separated by semicolons (e.g. Max Obal; Rudolf Walther-Fein).Year: The year when the film was originally releasedCountry: The country (or countries) where the film was produced. (A list of countries may be found below under "Abbreviations".) In case of co-productions, multiple countries are separated by a slash (e.g. D / F for Germany / France).Producer: The company which produced the filmProgram identifier:The archival record number of the program booklet where the information for this record was foundStart date: The date of the first screening (or performance), using the format dd-mm-yyyyEnd date: The date of the last screening (or performance), using the format dd-mm-yyyyDescription: Additional information (in French or Dutch) about the film, given in the program bookletThe dataset is stored in the tab-separated values (TSV) format. This was chosen as an alternative to the common comma-separated values (CSV) format, which often causes difficulties because of the need to avoid commas. The text encoding of the TSV file is UTF-8.-----DANS added a .csv version of the data file and has added a copy of the above remarks to the dataset in a file titled 'remarks.txt'.

This dataset includes crude birth rates and general fertility rates in the United States since 1909.

The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.

About this dataset

Context

The dataset tabulates the Upper Tulpehocken township 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 Upper Tulpehocken township 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 Upper Tulpehocken township was 1,857, a 0.22% increase year-by-year from 2021. Previously, in 2021, Upper Tulpehocken township population was 1,853, a decline of 0.05% compared to a population of 1,854 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Upper Tulpehocken township increased by 367. In this period, the peak population was 1,915 in the year 2018. 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 Upper Tulpehocken township is shown in this column.
• Year on Year Change: This column displays the change in Upper Tulpehocken township 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 Upper Tulpehocken township Population by Year. You can refer the same here