This map shows the average number of children born to a woman during her lifetime. Data from Population Reference Bureau's 2017 World Population Data Sheet. The world's total fertility rate reported in 2017 was 2.5 as a whole. Replacement-Level fertility is widely recognized as 2.0 children per woman, so as to "replace" each parent in the next generation. Countries depicted in pink have a total fertility rate below replacement level whereas countries depicted in teal have a total fertility rate above replacement level. In countries with very high child mortality rates, a replacement level of 2.1 could be used, since not every child will survive into their reproductive years. Determinants of Total Fertility Rate include: women's education levels and opportunities, marriage rates among women of childbearing age (generally defined as 15-49), contraceptive usage and method mix/effectiveness, infant & child mortality rates, share of population living in urban areas, the importance of children as part of the labor force (or cost/penalty to women's labor force options that having children poses), and religious and cultural norms, among many other factors. This map was made using the Global Population and Maternal Health Indicators layer.

In 2023, the Faroe Islands was the European country estimated to have the highest fertility rate. The small Atlantic island state had a fertility rate of 2.71 children per woman. Other small countries such as Monaco and Gibraltar also came towards the top of the list for 2023, while the large country with the highest fertility rate was France, with 1.79 children per woman. On the other hand, Andorra, San Marino, and Malta had the lowest fertility rates in Europe, with Ukraine, Spain, and Italy being the largest countries with low fertility rates in that year, averaging around 1.3 children per woman.

In 2023, the Italian region which registered the highest fertility rate was Trentino-South Tyrol, where the average number of children born per female reached 1.42 infants. Over the last years, the fertility rate in Italy has constantly decreased, except for 2021 when a slight increase by 0.01 points was recorded. Fewer and fewer children born per womanThe average number of children born per female significantly varied from the middle of the twentieth century to present days. In 2017, Italian women were on average a mother of one child, whereas about seven decades earlier, females had on average at least two kids. The lowest fertility rates worldwide From the global perspective, Italy was one of the world's twenty countries with the lowest fertility rate in 2023. This figure in Taiwan reached only 1.07 children per woman, placing the country on top of the ranking.

While a great deal of soil analysis has been collected in Kenya, it has never been brought together and converted into maps. Understanding the regions of various nutrient deficiencies and soil acidity constraints enables blenders to customize and target their products and is key to maximizing returns on fertilizer investments. The production of such maps is very influential at a policy level to increase awareness of deficiencies besides N, P, and K, and can be used to target fertilizer types and liming initiatives.

In 2023, Murcia ranked as the Spanish region with the highest fertility rate in Spain, with an average of roughly 1.36 children per woman. That year, Melilla ranked first as the region with the highest birth rate, with an average of 8.99 newborns every 1,000 inhabitants.

Inherent fertility is a relative indicator of the soil's capacity to retain and release nutrients for uptake by plants, and is associated with clay and organic matter content. Mapping shows the estimated average inherent fertility based on soils present in each map unit, while detailed proportion data are supplied for calculating respective areas of each inherent fertility class (spatial data statistics).

Digital tools are transforming and accelerating innovation in agriculture. Digital soil maps are important tools for better-informed decision-making supported by data and science. The maps permit addressing site-specific strategies needed by fertile and healthy soils to minimize the impacts of land use change, increase productivity without generating degradation and deforestation, and to deal with climate challenges.. To contribute to the diagnosis, monitoring, and control of soil degradation in Ecuador, the digital Map of Chemical Fertility of Soils of continental Ecuador and continuous soil properties maps of organic matter (%), pH (Un), available phosphorus (mg/kg), available potassium (cmol/kg), cation exchange capacity (cmol/kg), base sum (cmol/kg), base saturation (%), electrical conductivity (dS/m), clay (%) and sand (%) were developed by using digital soil mapping approaches, 13,552 soil profile data, and 46 environmental covariables.. The maps generated in this service are also available, the Geoportal of the Ministry of Agriculture and Livestock of Ecuador..

This map provides an estimation of the inherent fertility of soils in NSW. It uses the best available soils and natural resource mapping developed for the Land and Soil Capability (LSC) dataset. The …Show full descriptionThis map provides an estimation of the inherent fertility of soils in NSW. It uses the best available soils and natural resource mapping developed for the Land and Soil Capability (LSC) dataset. The mapping describes soil fertility in NSW according to a five class system outlined below: Low (1) Moderately low (2) Moderate (3) Moderately high (4) High (5) It was derived from a lookup table system linking a fertility class to a particular soil type (Great Soil Group), which was then attributed for each soil map unit (see Table 1 in data package). Online Maps: This dataset can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area. Reference: Department of Planning, Industry and Environment, 2021, Estimated Inherent Soil Fertility of NSW, Version 4.5, NSW Department of Planning, Industry and Environment, Parramatta.

Inherent fertility is a relative indicator of the soil's capacity to retain and release nutrients for uptake by plants, and is associated with clay and organic matter content. Mapping shows the estimated average inherent fertility based on soils present in each map unit, while detailed proportion data are supplied for calculating respective areas of each inherent fertility class (spatial data statistics).

World birth rate for 2025 is 17.13, a 0.95% decline from 2024.

<ul style='margin-top:20px;'>

<li>World birth rate for 2024 was <strong>17.30</strong>, a <strong>5.9% increase</strong> from 2023.</li>
<li>World birth rate for 2023 was <strong>16.33</strong>, a <strong>1.34% decline</strong> from 2022.</li>
<li>World birth rate for 2022 was <strong>16.56</strong>, a <strong>1.7% decline</strong> from 2021.</li>
</ul>Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.

In 2023, the total fertility rate (TFR) in Okinawa Prefecture amounted to 1.6, the highest among the 47 prefectures of Japan. By comparison, Tokyo Prefecture recorded the lowest fertility rate of 0.99. That year, the overall total fertility rate in the country stood at 1.2.

DATASET: Alpha version 2010 estimates of numbers of pregnancies per grid square, with national birth totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and estimates of stillbirths and abortions added (www.guttmacher.org). REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated pregnancies per grid square MAPPING APPROACH: Land cover based with DHS-derived subnational age-specific fertility rates applied, as described on the website (general mapping approach described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882) FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - cod10preg-adj.tif = Democratic Republic of Congo (COD) pregnancies count map for 2010 (with live births step including adjustment to match UN national estimates). DATE OF PRODUCTION: July 2013

Soil fertility (yieldability) refers to the natural, local potential of a soil for biomass production. This is influenced by mineralogical, physical, chemical and biological soil properties. The main factors for assessing the usability of a soil as a production site include water and potential nutrient supply, rootability and restrictions due to too moist soils. In addition, peat soils are classified separately. The results are related to the soil unit. Supplements or reductions for area-specific specificities (e.g. slope slope, forest use) are not included in the assessment. The assessment is carried out throughout Lower Saxony on a seven-stage qualitative scale (extremely low – extremely high) on the basis of the soil map of Lower Saxony on a scale of 1:50,000.

DATASET: Alpha version 2010 estimates of numbers of pregnancies per grid square, with national birth totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and estimates of stillbirths and abortions added (www.guttmacher.org). REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated pregnancies per grid square MAPPING APPROACH: Land cover based with DHS-derived subnational age-specific fertility rates applied, as described on the website (general mapping approach described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882) FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - cod10preg-adj.tif = Democratic Republic of Congo (COD) pregnancies count map for 2010 (with live births step including adjustment to match UN national estimates). DATE OF PRODUCTION: July 2013

DATASET: Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org/). REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated pregnancies per grid square MAPPING APPROACH: Tatem AJ, Campbell J, Guerra-Arias M, de Bernis L, Moran A, Matthews Z, 2014, Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births, International Journal of Health Geographics, 13:2 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - BEN2010pregnancies.tif = Benin (BEN) pregnancies count map for 2010 adjusted to match UN national estimates on numbers of pregnancies. DATE OF PRODUCTION: May 2014

DATASET: Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org/). REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated pregnancies per grid square MAPPING APPROACH: Tatem AJ, Campbell J, Guerra-Arias M, de Bernis L, Moran A, Matthews Z, 2014, Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births, International Journal of Health Geographics, 13:2 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - BEN2010pregnancies.tif = Benin (BEN) pregnancies count map for 2010 adjusted to match UN national estimates on numbers of pregnancies. DATE OF PRODUCTION: May 2014

This map shows soil units for Maya Forest, Zoque and Olmeca according to the classification of the FAO/UNESCO 1972. Drainage has been ranked as follows: 1 = well drained, 2 = moderately well drained or very freely (excessively) drained, 3 = imperfectly to poorly, drained, 4 = poorly drained to very poorly drained, and 0 = Water. Rankings for fertility generally follow those ascribed to soil types by Birchall and Jenkin (1979) and Jenkin et al. (1976), and are as follows: 1 = high fertility, 2 = moderate fertility, 3 = low fertility, 4 = infertile, and 0 = Water.

DATASET: Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org/). REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated pregnancies per grid square MAPPING APPROACH: Tatem AJ, Campbell J, Guerra-Arias M, de Bernis L, Moran A, Matthews Z, 2014, Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births, International Journal of Health Geographics, 13:2 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AFG2010pregnancies.tif = Afghanistan (AFG) pregnancies count map for 2010 adjusted to match UN national estimates on numbers of pregnancies. DATE OF PRODUCTION: May 2014

DATASET: Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated births per grid square MAPPING APPROACH: Tatem AJ, Campbell J, Guerra-Arias M, de Bernis L, Moran A, Matthews Z, 2014, Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births, International Journal of Health Geographics, 13:2 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AZE2010adjustedBirths.tif = Azerbaijan (AZE) births count map for 2010 adjusted to match UN national estimates on numbers of live births. DATE OF PRODUCTION: May 2014

DATASET: Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org/). REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated pregnancies per grid square MAPPING APPROACH: Tatem AJ, Campbell J, Guerra-Arias M, de Bernis L, Moran A, Matthews Z, 2014, Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births, International Journal of Health Geographics, 13:2 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - BEN2010pregnancies.tif = Benin (BEN) pregnancies count map for 2010 adjusted to match UN national estimates on numbers of pregnancies. DATE OF PRODUCTION: May 2015