Graph and download economic data for Crude Birth Rate for the United States (SPDYNCBRTINUSA) from 1960 to 2023 about birth, crude, rate, and USA.

The crude birth rate in the United States declined to 10.7 live births per 1,000 inhabitants in 2023. The rate thereby reached its lowest value in recent years. The crude birth rate refers to the number of live births in a given year, expressed per 1,000 population. When studied in combination with the crude death rate, the rate of natural population increase can be determined.Find more statistics on other topics about the United States with key insights such as death rate, total fertility rate, and life expectancy of men at birth.

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.

Population range for each citytown. pop_4: 10,001 - 100,000

U.S. Populated Place Points represents populated places with population projected for 2030 that include census designated places, consolidated cities, and incorporated places within United States identified by the U.S. Census Bureau.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

19 Global import shipment records of Honda Cbr with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Find out details of Curtume Cbr Ltda exporting to United States.Shipments data from Global bill of Lading.

Niger had the highest birth rate in the world in 2024, with a birth rate of 46.6 births per 1,000 inhabitants. Angola, Benin, Mali, and Uganda followed. Except for Afghanistan, all the 20 countries with the highest birth rates in the world were located in Sub-Saharan Africa. High infant mortality The reasons behind the high birth rates in many Sub-Saharan African countries are manyfold, but a major reason is that infant mortality remains high on the continent, despite decreasing steadily over the past decades, resulting in high birth rates to counter death rates. Moreover, many nations in Sub-Saharan Africa are highly reliant on small-scale farming, meaning that more hands are of importance. Additionally, polygamy is not uncommon in the region, and having many children is often seen as a symbol of status. Fastest growing populations As the high fertility rates coincide with decreasing death rates, countries in Sub-Saharan Africa have the highest population growth rates in the world. As a result, with Africa's population forecast to increase from 1.4 billion in 2022 to over 3.9 billion by 2100.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

From 1950 to 1955, the worldwide crude birth rate was just under 37 births per thousand people, which means that 3.7 percent of the population, who were alive during this time had been born in this five year period. Between this five year period, and the time between 2015 and 2020, the crude birth rate has dropped to 18.5 births per thousand people, which is fifty percent of what the birth rate was seventy years ago. This change has come as a result of increased access and reliability of contraception, a huge reduction in infant and child mortality rate, and increased educational and vocational opportunities for women. The continents that have felt the greatest change over this seventy year period are Asia and Latin America, which fell below the global average in the 1990s and early 2000s, and are estimated to have fallen below the crude birth rate of Oceania in the current five-year period. Europe has consistently had the lowest crude birth rate of all continents during the past seventy years, particularly in the 1990s and 2000s, when it fell to just over ten births per thousand, as the end of communism in Europe caused sweeping demographic change across Europe. The only continent that still remains above the global average is Africa, whose crude birth rate is fifteen births per thousand more than the world average, although the rate of decrease is higher than it was in previous decades.

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The clay coated paper market is anticipated to be worth US$ 2.1 billion in 2024. The market is expected to grow at a steady rate over the period from 2024 to 2034, with a CAGR of 3.0%. By the end of the forecast period, the market value is predicted to hit US$ 2.8 billion.

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Country-wise Analysis

This database contains GIS datasets representing the distribution of mule deer habitat throughout the United States and Canada (Alberta amp; Saskatewan only). Mule deer habitat is divided into 6 separate GIS layers corresponding to 6 types of mule deer habitat: 1)limited range, 2) summer range, 3) other important habitat, 4) winter range, 5) winter concentration, and 6) year-round population. Information on mule deer limiting factors associated with each habitat type is provided within the GIS datasets. Habitat delineations were identified through a Delphi process on a state-by-state basis and were subsequently tablet-digitized from 1:250,000 scale maps.

The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2010. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a vector polygon shapefile of the burned area extent of all currently inventoried and mappable MTBS fires occurring between calendar year 1984 and 2007 for the continental United States, Alaska, Hawaii and Puerto Rico.

The National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the USGS. The NED provides the best available public domain raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands in a seamless format. The NED is derived from diverse source data, processed to a common coordinate system and unit of vertical measure. All NED data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are provided in units of meters, and are referenced to the North American Vertical Datum of 1988 (NAVD 88) over the conterminous United States. The vertical reference will vary in other areas. NED data are available nationally at resolutions of 1 arc-second (approx. 30 meters) and 13 arc-second (approx. 10 meters), and in limited areas at 19 arc-second (approx. 3 meters). At present, the bulk of Alaska is only available at a 2 arc-second (approx. 60 meters) resolution, owing to a lack of higher resolution source data, though some areas are available at resolutions of 1 and 13 arc-second with plans for significant upgrades of the state over the next five years. The NED is updated on a nominal two month cycle to integrate newly available, improved elevation source data.

This dataset represents the location and density of private land housing units across the Central Great Basin and Range Ecosystem (CBR) ecosystem for 2010. This dataset was clipped from a national coverage and reprojected.

This dataset was created by Dr. Dave Theobald, Colorado State University. The dataset was clipped, reprojected and evaluated by NatureServe for use the BLMs MBR Rapid Ecological Assessment.

The source contact for this dataset is Dr. David M. Theobald, Colorado State University. davet@cnr.colostate.edu.

This raster dataset is a classification of bhdXXXXbc (base case scenario) from ICLUS v1.2 which is produced using the SERGoM v3 model, depicts housing density for the coterminous US in 2000, based on 2000 US Census Bureau block (SF1) datasets. (The classication is shown below.) A raster layer that portrays not-developed (and assumed to be undevelopable) called DEV20091024_depicts protectedunprotected lands and Census water polygons. Land was removed from blocks (reducing the area of a block, but not its number of housing units -- assuming that private housing units must be on private land) that was public andor protected.

Classification of housing density Class: units * 1000 per ha NODATA: undevelopable, public, protected 0: lt;=1 undeveloped private 1: 2 - 15 gt;160 ac per unit 2: 16 - 31 80-160 ac per unit 3: 32 - 62 40-80 ac per unit 4: 63 - 124 20-40 ac per unit 5: 125 - 247 10-20 ac per unit 6: 248 - 494 5-10 ac per unit 7: 495 - 1454 1.7-5 ac per unit 8: 1455 - 4942 0.5-1.6 ac per unit 9: 4943 - 12355 2-5 units per ac 10: 12356 - 24711 5-10 units per ac 11: 24712 - 9999999 gt;10 units per ac 12: Industrialcommercialinstitutional 13: Urbanregional parks

This raster dataset is a classification of bhdXXXXbc (base case scenario) from ICLUS v1.2 which is produced using the SERGoM v3 model, depicts housing density for the coterminous US in 2000, based on 2000 US Census Bureau block (SF1) datasets. (The classication is shown below.) A raster layer that portrays not-developed (and assumed to be undevelopable) called DEV20091024_depicts protectedunprotected lands and Census water polygons. Land was removed from blocks (reducing the area of a block, but not its number of housing units -- assuming that private housing units must be on private land) that was public andor protected. Classification of housing density Class: units * 1000 per ha NODATA: undevelopable, public, protected 0: 160 ac per unit 2: 16 - 31 80-160 ac per unit 3: 32 - 62 40-80 ac per unit 4: 63 - 124 20-40 ac per unit 5: 125 - 247 10-20 ac per unit 6: 248 - 494 5-10 ac per unit 7: 495 - 1454 1.7-5 ac per unit 8: 1455 - 4942 0.5-1.6 ac per unit 9: 4943 - 12355 2-5 units per ac 10: 12356 - 24711 5-10 units per ac 11: 24712 - 9999999 gt;10 units per ac 12: Industrialcommercialinstitutional 13: Urbanregional parks

FINALthermotypes data aligned with NLCD - use this for data distribution

Backup: done in EcoSys6 (R:)

The U.S. Geological Survey (USGS) has generated and mapped isobioclimate classes for the contiguous United States. These isobioclimate classes were created as part of an effort to map standardized, terrestrial ecosystems for the nation using a classification developed by NatureServe (Comer and others, 2003). Ecosystem distributions were modeled using a biophysical stratification approach developed for South America (Sayre and others, 2008) and now being implemented globally (Sayre and others, 2007). Bioclimate regimes strongly influence the differentiation and distribution of terrestrial ecosystems, and are one of the key input layers in the ecosystem delineation process.

The Rivas-Mart#237;nez methodology used to produce these classes was developed from a consideration of bioclimatology and its relationship to phytogeography (Rivas-Mart#237;nez, 2004; Rivas-Mart#237;nez and others, 1999, 2004). This approach develops a number of bioclimatic indices calculated from a variety of data on temperature and precipitation (e.g. average temperature of the coldest month, total precipitation of the warmest four-month period, a continentality index and a thermicity index). Daymet data, which was developed from 18-year (1980-1997) climatological records and is available at a spatial resolution of 1 kilometer, was used as the source data for these indices (Thornton, 1997). Once calculated the values of these indices are compared to established thresholds for the differentiation of thermotypic (warmcold gradients) and ombrotypic (wetdry gradients) regions, and the results are used in sets of decision rules to identify classes. The classification is implemented in four levels: macrobioclimates, bioclimates, thermotypes (thermoclimatic belts) and ombrotypes (ombroclimatic belts). The final isobioclimates dataset represents areas of the 127 unique thermotype-ombrotype combinations that were mapped for the contiguous United States.