Native Hawaiian and Pacific Islander women had the highest fertility rate of any ethnicity in the United States in 2022, with about 2,237.5 births per 1,000 women. The fertility rate for all ethnicities in the U.S. was 1,656.5 births per 1,000 women. What is the total fertility rate? The total fertility rate is an estimation of the number of children who would theoretically be born per 1,000 women through their childbearing years (generally considered to be between the ages of 15 and 44) according to age-specific fertility rates. The fertility rate is different from the birth rate, in that the birth rate is the number of births in relation to the population over a specific period of time. Fertility rates around the world Fertility rates around the world differ on a country-by-country basis, and more industrialized countries tend to see lower fertility rates. For example, Niger topped the list of the countries with the highest fertility rates, and Taiwan had the lowest fertility rate.

In 2025, there are six countries, all in Sub-Saharan Africa, where the average woman of childbearing age can expect to have between 5-6 children throughout their lifetime. In fact, of the 20 countries in the world with the highest fertility rates, Afghanistan and Yemen are the only countries not found in Sub-Saharan Africa. High fertility rates in Africa With a fertility rate of almost six children per woman, Chad is the country with the highest fertility rate in the world. Population growth in Chad is among the highest in the world. Lack of healthcare access, as well as food instability, political instability, and climate change, are all exacerbating conditions that keep Chad's infant mortality rates high, which is generally the driver behind high fertility rates. This situation is common across much of the continent, and, although there has been considerable progress in recent decades, development in Sub-Saharan Africa is not moving as quickly as it did in other regions. Demographic transition While these countries have the highest fertility rates in the world, their rates are all on a generally downward trajectory due to a phenomenon known as the demographic transition. The third stage (of five) of this transition sees birth rates drop in response to decreased infant and child mortality, as families no longer feel the need to compensate for lost children. Eventually, fertility rates fall below replacement level (approximately 2.1 children per woman), which eventually leads to natural population decline once life expectancy plateaus. In some of the most developed countries today, low fertility rates are creating severe econoic and societal challenges as workforces are shrinking while aging populations are placin a greater burden on both public and personal resources.

In 2023, around 50 children were born per thousand Asian women in the United States. The highest birth rate was among Native Hawaiian and other Pacific Islander mothers, at 79 percent during the same year.

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.

United States US: Fertility Rate: Total: Births per Woman data was reported at 1.800 Ratio in 2016. This records a decrease from the previous number of 1.843 Ratio for 2015. United States US: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.002 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 3.654 Ratio in 1960 and a record low of 1.738 Ratio in 1976. United States US: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Fertile by race. It includes the distribution of the Non-Hispanic population of Fertile across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Fertile across relevant racial categories.

Key observations

Of the Non-Hispanic population in Fertile, the largest racial group is White alone with a population of 268 (100% of the total Non-Hispanic population).

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Fertile
• Population: The population of the racial category (for Non-Hispanic) in the Fertile is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Fertile total Non-Hispanic 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 Fertile Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Fertile by race. It includes the population of Fertile across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Fertile across relevant racial categories.

Key observations

The percent distribution of Fertile population by race (across all racial categories recognized by the U.S. Census Bureau): 99.26% are white and 0.74% are American Indian and Alaska Native.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Fertile
• Population: The population of the racial category (excluding ethnicity) in the Fertile is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Fertile 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 Fertile Population by Race & Ethnicity. You can refer the same here

The total fertility rate of the world has dropped from around five children per woman in 1950, to 2.2 children per woman in 2025, which means that women today are having fewer than half the number of children that women did 75 years ago. Replacement level fertility This change has come as a result of the global demographic transition, and is influenced by factors such as the significant reduction in infant and child mortality, reduced number of child marriages, increased educational and vocational opportunities for women, and the increased efficacy and availability of contraception. While this change has become synonymous with societal progress, it does have wide-reaching demographic impact - if the global average falls below replacement level (roughly 2.1 children per woman), as is expected to happen in the 2050s, then this will lead to long-term population decline on a global scale. Regional variations When broken down by continent, Africa is the only region with a fertility rate above the global average, and, alongside Oceania, it is the only region with a fertility rate above replacement level. Until the 1980s, the average woman in Africa could expect to have 6-7 children over the course of their lifetime, and there are still several countries in Africa where women can still expect to have five or more children in 2025. Historically, Europe has had the lowest fertility rates in the world over the past century, falling below replacement level in 1975. Europe's population has grown through a combination of migration and increasing life expectancy, however even high immigration rates could not prevent its population from going into decline in 2021.

The statistic shows the 20 countries with the lowest fertility rates in 2024. All figures are estimates. In 2024, the fertility rate in Taiwan was estimated to be at 1.11 children per woman, making it the lowest fertility rate worldwide. Fertility rate The fertility rate is the average number of children born per woman of child-bearing age in a country. Usually, a woman aged between 15 and 45 is considered to be in her child-bearing years. The fertility rate of a country provides an insight into its economic state, as well as the level of health and education of its population. Developing countries usually have a higher fertility rate due to lack of access to birth control and contraception, and to women usually foregoing a higher education, or even any education at all, in favor of taking care of housework. Many families in poorer countries also need their children to help provide for the family by starting to work early and/or as caretakers for their parents in old age. In developed countries, fertility rates and birth rates are usually much lower, as birth control is easier to obtain and women often choose a career before becoming a mother. Additionally, if the number of women of child-bearing age declines, so does the fertility rate of a country. As can be seen above, countries like Hong Kong are a good example for women leaving the patriarchal structures and focusing on their own career instead of becoming a mother at a young age, causing a decline of the country’s fertility rate. A look at the fertility rate per woman worldwide by income group also shows that women with a low income tend to have more children than those with a high income. The United States are neither among the countries with the lowest, nor among those with the highest fertility rate, by the way. At 2.08 children per woman, the fertility rate in the US has been continuously slightly below the global average of about 2.4 children per woman over the last decade.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Fertile by race. It includes the distribution of the Non-Hispanic population of Fertile across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Fertile across relevant racial categories.

Key observations

With a zero Hispanic population, Fertile is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 750 (95.91% of the total Non-Hispanic population).

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Fertile
• Population: The population of the racial category (for Non-Hispanic) in the Fertile is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Fertile total Non-Hispanic 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 Fertile Population by Race & Ethnicity. You can refer the same here

The average for 2022 based on 195 countries was 18.38 births per 1000 people. The highest value was in Niger: 45.03 births per 1000 people and the lowest value was in Hong Kong: 4.4 births per 1000 people. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Fertile-beltrami Secondary vs. Minnesota and Fertile-Beltrami School District

Female fertility was the highest in Yemen in 2019 at an approximate of 3.7 births per woman, followed by Iraq and Palestine at about 3.6 and 3.56 births per woman respectively. In comparison, the United Arab Emirates had the lowest fertility rate of about 1.4 births per woman in 2019.

Fertility rates over time

Fertility rates have been declining over the years from 2.9 in 2010 to 2.8 in 2018 in the Middle East and Africa region. The population of a country starts declining due to the decline in fertility rates when the fertility rate drops below the threshold of approximately 2.1. This effect is more prominent in countries with high child mortality rates as child survival is one of the main factors affecting fertility rates. Parents are more likely to attempt to replace lost children or have more children as insurance when experiencing early child mortality. In the MENA region, child mortality witnessed a significant decline over the past decade.

Factors affecting female fertility

The variation in fertility rates across countries is very evident. Developed countries have lower fertility rates between 1 to 3 births per female, while developing countries have higher rates that could reach 7 births per female. Female fertility rates drop as countries develop economically. It was found that a higher income and education decreases female fertility. Increasing the employment of women also reduces female fertility as it increases their opportunity cost of bearing children.

As of 2023, 42 percent of adults in the United States said they or someone they knew personally had used fertility treatments to try to have a baby. White adults were most likely to have used fertility treatments or know someone who did, followed by Asian adults.

This statistic shows the percentage of adults who knew someone personally or has used fertility treatments themselves to conceive in the United States as of 2023, by race and ethnicity.

The 1970 National Fertility Survey (NFS) was the second in a series of three surveys that followed the Growth of American Families surveys (1955 and 1960) aimed at examining marital fertility and family planning in the United States. Women were queried on the following main topics: residence history, age and race, family background, pregnancies, abortions and miscarriages, marriage history, education, employment and income, religion, use of family planning clinics, current and past birth control pill use and other methods of contraception, sterility, ideals regarding childbearing, attitudes and opinions with respect to abortion, gender roles, sterilization and world population, and birth histories. Respondents were asked to give residence histories for themselves and their husbands. Specifically, they were asked about the state they grew up in, whether they had lived with both parents, whether they had lived on a farm growing up, and whether they were currently living on a farm. Respondents were asked to give their date of birth, current age and race, as well as that of their husband. Regarding family background, respondents were asked how many brothers and sisters that they had, whether their siblings were older or younger, and whether there were any twins in the family. Additionally, respondents were asked to summarize their pregnancy history by giving information with respect to total number of pregnancies, live births, miscarriages, and abortions. Regarding abortions, respondents also were asked to give the date of the abortion and if they had used any family planning techniques prior to the abortion. Respondents were queried about their marriage history, specifically they were asked whether this was their first marriage, whether it was their spouse's first marriage, and their total number of marriages. If previously married, respondents were asked about the dates of past marriages and reasons for the marriage ending (e.g., death, divorce, or annulment). Respondents were asked a series of questions about both their own and their spouse's education including number of grades completed, current educational status, schooling completed after marriage, highest grade completed, and highest grade the respondent and spouse hoped to complete. All respondents were queried about their own and their husband's employment situations, as well as their household income. Respondents were asked about employment prior to and after marriage, employment after the birth of their first child, reasons for working, future employment expectations, earned income for both the respondent and husband in 1970, and other sources of income. There was also a series of questions on religion including religious preferences growing up, current religious preferences, and the importance of religion for both the respondent and her husband. Respondents were asked whether they had ever been to a family planning clinic, whether methods of family planning were discussed with a doctor or other medically trained person, whether this had taken place in the last 12 months, and if not, when the last time was. Several questions were devoted to the respondent's current and past use of the birth control pill and other methods of contraception such as the IUD and the diaphragm. Specifically, respondents were asked how they obtained the method of contraception for the first time, whether the respondent had sought methods of contraception from a doctor, and whether they had discussed with a doctor problems related to the methods of contraception. Respondents were asked why they used the pill and other methods of contraception, why they had stopped using a particular method, whether the methods were being used for family planning, and during what intervals the methods were used. Respondents also were asked questions about sterility including whether they were able to have children, whether they or their husband had undergone a sterilization operation, and if so, what kind of operation it was, the motive for having such an operation, whether the respondent had arrived at menopause, and if they had seen a doctor if they were unable to have a baby. They were also asked about their ideals with respect to children including their ideal number of children, the ideal number of boys and girls, as well as the ideal age for having their first and last child. The survey also sough

Note: For information on data collection, confidentiality protection, nonsampling error, and definitions, see the 2020 Island Areas Censuses Technical Documentation..Due to COVID-19 restrictions impacting data collection for the 2020 Census of the U.S. Virgin Islands, data tables reporting social and economic characteristics do not include the group quarters population in the table universe. As a result, impacted 2020 data tables should not be compared to 2010 and other past census data tables reporting the same characteristics. The Census Bureau advises data users to verify table universes are the same before comparing data across census years. For more information about data collection limitations and the impacts on the U.S. Virgin Island's data products, see the 2020 Island Areas Censuses Technical Documentation..[1] "Other races" includes respondents who reported one race that is classified as American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, or Some Other Race..[2] "All Other Hispanic or Latino" includes people who reported Cuban, Spaniard, and other detailed Hispanic responses. It also includes people who reported "Hispanic" or "Latino" and other general terms..Explanation of Symbols: 1.An "-" means the statistic could not be computed because there were an insufficient number of observations. 2. An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.3. An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.4. An "N" means data are not displayed for the selected geographic area due to concerns with statistical reliability or an insufficient number of cases.5. An "(X)" means not applicable..Source: U.S. Census Bureau, 2020 Census, U.S. Virgin Islands.

Abstract (en): The Integrated Fertility Survey Series (IFSS) integrates data from ten underlying component studies of family and fertility: the Growth of American Families studies of 1955 and 1960; the National Survey of Fertility of 1965 and 1970; and the National Surveys of Family Growth of 1973, 1976, 1982, 1988, 1995, and 2002. The first release contains harmonized sociodemographic variables for all respondents from all ten component studies, including those related to marital status, race and ethnicity, education, income, migration, religion, and region of origin, among others. The second release adds harmonized husband/partner sociodemographic variables as well as harmonized union history variables. The third release adds harmonized pregnancy, adoption, non-biological children, and menstruation variables. The fourth release adds harmonized fertility variables. The fifth release includes the addition of the pregnancy interval file. This file contains 217,128 pregnancy records with information pertaining to the pregnancies of all respondents. The sixth release adds comparative sample variables to the respondent and pregnancy interval files, and includes the addition of the contraceptive calendar file. This file contains 53,317 records with information pertaining to type and frequency of contraceptive use. The seventh release includes additional variables related to contraceptive knowledge, contraceptive use, birth control and family planning services, sexual history, infertility, and sterilizing operations. It also adds sociodemographic and union history variables. Imputed data through the third release are also included. Additional information about the Integrated Fertility Survey Series can be found on the IFSS Web site. The purpose of the Integrated Fertility Survey Series is to create a harmonized data set of ten component surveys of fertility and family growth. Integration of these data sets will allow for easier and more efficient analysis of family and fertility data over time. Data were harmonized from ten component studies of family and fertility, including the 1955 and 1960 Growth of American Families studies, 1965 and 1970 National Fertility Surveys, and the 1973, 1976, 1982, 1988, 1995, and 2002 National Surveys of Family Growth. IFSS staff harmonized all concepts that appeared in at least five of the component studies. In special cases, concepts that appears in as few as two component studies were also harmonized. Comparability notes, located on the IFSS Web site, outline the processes by which data were harmonized. Variables include sociodemographic, union history, pregnancy, fertility and pregnancy interval variables. These include variables related to: birth and date of interview; education; family structure in the respondent's childhood; life on farms; geography; household roster; income; respondent's mother; nativity; geographical origin; race and ethnicity; religion; marital status; urbanicity; employment; dates of marriage, divorce, and death of husbands; dates of cohabitation; age at marriage; husband characteristics; subsample filter variables; weights and standard error codes; menstruation; adoption; non-biological children; fertility assistance; fertility intentions; and pregnancy including outcomes, dates, contraception, nursing and additional variables. A weight variable with two implied decimal places has been included and must be used in any analysis. Methodology for the computation of the weight variable is available on the IFSS Web site. 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.; Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. The universe includes all respondents in the following studies: the Growth of American Families studies of 1955 and 1960; the National Fertility Surveys of 1965 and 1970; and the National Surveys of Family Growth of 1973, 1976, 1982, 1988, 1995, and 2002. No primary data collection or sampling was performed. 2015-06-18 ICPSR added files that provide the basis for the onl...

In 2021, the birth rate in the United States was highest in families that had under 10,000 U.S. dollars in income per year, at 62.75 births per 1,000 women. As the income scale increases, the birth rate decreases, with families making 200,000 U.S. dollars or more per year having the second-lowest birth rate, at 47.57 births per 1,000 women. Income and the birth rate Income and high birth rates are strongly linked, not just in the United States, but around the world. Women in lower income brackets tend to have higher birth rates across the board. There are many factors at play in birth rates, such as the education level of the mother, ethnicity of the mother, and even where someone lives. The fertility rate in the United States The fertility rate in the United States has declined in recent years, and it seems that more and more women are waiting longer to begin having children. Studies have shown that the average age of the mother at the birth of their first child in the United States was 27.4 years old, although this figure varies for different ethnic origins.

This is a publication on maternity activity in English NHS hospitals. This report examines data relating to delivery and birth episodes in 2022-23, and the booking appointments for these deliveries. This annual publication covers the financial year ending March 2023. Data is included from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset. In April 2019 the MSDS transitioned to a new version of the dataset. This version, MSDS v2.0, is an update that introduced a new structure and content - including clinical terminology, in order to meet current clinical practice and incorporate new requirements. It is designed to meet requirements that resulted from the National Maternity Review, which led to the publication of the Better Births report in February 2016. This is the fourth publication of data from MSDS v2.0 and data from 2019-20 onwards is not directly comparable to data from previous years. This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with breakdowns including the baby's first feed type, birthweight, place of birth, and breastfeeding activity; and the mothers' ethnicity and age at booking. There is also data available in a separate file on breastfeeding at 6 to 8 weeks. The count of Total Babies includes both live and still births, and previous changes to how Total Babies and Total Deliveries were calculated means that comparisons between 2019-20 MSDS data and later years should be made with care. Information on how all measures are constructed can be found in the HES Metadata and MSDS Metadata files provided below. In this publication we have also included an interactive Power BI dashboard to enable users to explore key NHS Maternity Statistics measures. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This report will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Any feedback on this publication or dashboard can be provided to enquiries@nhsdigital.nhs.uk, under the subject “NHS Maternity Statistics”.

Ovarian reserve tests are valuable for evaluation of female fertility, and to formulate appropriate treatment strategies for infertile women. Antral follicle count (AFC) and Anti-Mullerian hormone (AMH) are most reliable markers of ovarian reserve which are related inversely to age. There are many factors that affect ovarian reserve like race, ethnicity, fertility status, BMI or any chronic illness. We conducted this study to find outage specific nomograms for AMH and AFC among fertile and Infertile Indian women, to find out any variations between fertile and Infertile ovarian reserves at various centiles, to define the age cut-off of decline in AMH and AFC among fertile and Infertile Indian women and to find correlation between AMH and AFC. It was a prospective cross sectional single centre study conducted at a tertiary hospital of northern India from March 2017 to February 2022. Fertile healthy women were recruited from family planning clinic, oocyte donors and subfertile women from Gynaecology and ART clinic. AMH was done using ELISA, Beckmann Coulter Gen II assay and AFC was done using TVS with high frequency probe (9.0 MHZ, Voluson,S-6, GE Healthcare, USA) by trained personnel. R Statistical Programming Language was used for statistical modelling and visualization. Age-specific AFC centile chart and AMH centile chart were generated using GAMLSS (Generalized Additive Models for Location Scale and Shape) package available in R Statistical Computing Language. A Non-linear decline in ovarian reserves among fertile, while linear among infertile women was seen. Centiles defined for both groups with a faster decline in infertile women. Age cut off for decline in AMH and AFC in fertile women approximately 31 years using ROC analysis and Age cut off for decline in AMH and AFC in infertile women is approximately 34 years. There seems to be a good correlation between AFC and AMH. We need to counsel women to consider child bearing well before ovarian reserves decline (31–34 years).