Historical dataset showing OECD members fertility rate by year from 1960 to 2023.

Historical dataset showing OECD members birth rate by year from 1960 to 2023.

Austria AT: Total Fertility Rate: Children per Woman data was reported at 1.320 Person in 2023. This records a decrease from the previous number of 1.410 Person for 2022. Austria AT: Total Fertility Rate: Children per Woman data is updated yearly, averaging 1.435 Person from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 1.530 Person in 2016 and a record low of 1.320 Person in 2023. Austria AT: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Austria – Table AT.OECD.GGI: Social: Demography: OECD Member: Annual.

Costa Rica CR: Total Fertility Rate: Children per Woman data was reported at 1.530 Person in 2021. This records a decrease from the previous number of 1.560 Person for 2020. Costa Rica CR: Total Fertility Rate: Children per Woman data is updated yearly, averaging 2.030 Person from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 3.200 Person in 1990 and a record low of 1.530 Person in 2021. Costa Rica CR: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Costa Rica – Table CR.OECD.GGI: Social: Demography: OECD Member: Annual.

This dataset contains the demographic indicators included by OECD in the group of health indicators. The indicators values are for the total population, population structure by gender, the population of 65, 85 and over, fertility, live births, civilian employment population and their values cover periods of time between the years 1960 and 2016.

Japan JP: Total Fertility Rate: Children per Woman data was reported at 1.300 Person in 2021. This records an increase from the previous number of 1.290 Person for 2020. Japan JP: Total Fertility Rate: Children per Woman data is updated yearly, averaging 1.375 Person from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 1.530 Person in 1991 and a record low of 1.270 Person in 2005. Japan JP: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.GGI: Social: Demography: OECD Member: Annual.

Germany DE: Total Fertility Rate: Children per Woman data was reported at 1.530 Person in 2021. This records an increase from the previous number of 1.520 Person for 2020. Germany DE: Total Fertility Rate: Children per Woman data is updated yearly, averaging 1.365 Person from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 1.590 Person in 2016 and a record low of 1.250 Person in 1995. Germany DE: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Germany – Table DE.OECD.GGI: Social: Demography: OECD Member: Annual.

This dataset presents the estimated percentage of babies born alive before 37 weeks of pregnancy are completed, by country. Preterm birth is a leading cause of neonatal morbidity and mortality. Understanding national rates supports efforts to improve antenatal care, timely interventions, and newborn outcomes. These estimates are adapted from Liang et al. (2024), based on the Global Burden of Disease Study 2021, and provide a globally comparable measure of preterm birth burden.Data Source:The Lancet: https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(24)00419-X/fulltext Data Dictionary: The data is collated with the following columns:Column headingContent of this columnPossible valuesRefNumerical counter for each row of data, for ease of identification1+CountryShort name for the country195 countries in total – all 194 WHO member states plus PalestineISO3Three-digit alphabetical codes International Standard ISO 3166-1 assigned by the International Organization for Standardization (ISO). e.g. AFG (Afghanistan)ISO22 letter identifier code for the countrye.g. AF (Afghanistan)ICM_regionICM Region for countryAFR (Africa), AMR (Americas), EMR (Eastern Mediterranean), EUR (Europe), SEAR (South east Asia) or WPR (Western Pacific)CodeUnique project code for each indicator:GGTXXnnnGG=data group e.g. OU for outcomeT = N for novice or E for ExpertXX = identifier number 00 to 30nnn = identifier name eg mmre.g. OUN01sbafor Outcome Novice Indicator 01 skilled birth attendance Short_nameIndicator namee.g. maternal mortality ratioDescriptionText description of the indicator to be used on websitee.g. Maternal mortality ratio (maternal deaths per 100,000 live births)Value_typeDescribes the indicator typeNumeric: decimal numberPercentage: value between 0 & 100Text: value from list of text optionsY/N: yes or noValue_categoryExpect this to be ‘total’ for all indicators for Phase 1, but this could allow future disaggregation, e.g. male/female; urban/ruraltotalYearThe year that the indicator value was reported. For most indicators, we will only report if 2014 or more recente.g. 2020Latest_Value‘LATEST’ if this is the most recent reported value for the indicator since 2014, otherwise ‘No’. Useful for indicators with time trend data.LATEST or NOValueIndicator valuee.g. 99.8. NB Some indicators are calculated to several decimal places. We present the value to the number of decimal places that should be displayed on the Hub.SourceFor Caesarean birth rate [OUN13cbr] ONLY, this column indicates the source of the data, either OECD when reported, or UNICEF otherwise.OECD or UNICEFTargetHow does the latest value compare with Global guidelines / targets?meets targetdoes not meet targetmeets global standarddoes not meet global standardRankGlobal rank for indicator, i.e. the country with the best global score for this indicator will have rank = 1, next = 2, etc. This ranking is only appropriate for a few indicators, others will show ‘na’1-195Rank out ofThe total number of countries who have reported a value for this indicator. Ranking scores will only go as high as this number.Up to 195TrendIf historic data is available, an indication of the change over time. If there is a global target, then the trend is either getting better, static or getting worse. For mmr [OUN04mmr] and nmr [OUN05nmr] the average annual rate of reduction (arr) between 2016 and latest value is used to determine the trend:arr <-1.0 = getting worsearr >=-1.0 AND <=1.0 = staticarr >1.0 = getting betterFor other indicators, the trend is estimated by comparing the average of the last three years with the average ten years ago:decreasing if now < 95% 10 yrs agoincreasing if now > 105% 10 yrs agostatic otherwiseincreasingdecreasing Or, if there is a global target: getting better,static,getting worseNotesClarification comments, when necessary LongitudeFor use with mapping LatitudeFor use with mapping DateDate data uploaded to the Hub the following codes are also possible values: not reported does not apply don’t know This is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

Sweden SE: Total Fertility Rate: Children per Woman data was reported at 1.430 Person in 2023. This records a decrease from the previous number of 1.540 Person for 2022. Sweden SE: Total Fertility Rate: Children per Woman data is updated yearly, averaging 1.775 Person from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 2.120 Person in 1990 and a record low of 1.430 Person in 2023. Sweden SE: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Sweden – Table SE.OECD.GGI: Social: Demography: OECD Member: Annual.

The Country-Level Population and Downscaled Projections Based on Special Report on Emissions Scenarios (SRES) A1, B1, and A2 Scenarios, 1990-2100, were adopted in 2000 from population projections realized at the International Institute for Applied Systems Analysis (IIASA) in 1996. The Intergovernmental Panel on Climate Change (IPCC) SRES A1 and B1 scenarios both used the same IIASA "rapid" fertility transition projection, which assumes low fertility and low mortality rates. The SRES A2 scenario used a corresponding IIASA "slow" fertility transition projection (high fertility and high mortality rates). Both IIASA low and high projections are performed for 13 world regions including North Africa, Sub-Saharan Africa, China and Centrally Planned Asia, Pacific Asia, Pacific OECD, Central Asia, Middle East, South Asia, Eastern Europe, European part of the former Soviet Union, Western Europe, Latin America, and North America. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

This dataset provides the estimated number of women aged 15–49 years in each country. This age group is commonly defined as 'women of reproductive age' and is used as the denominator in calculating key sexual and reproductive health indicators. These estimates support health system planning, resource allocation, and monitoring of service coverage for women across the reproductive life course. Data Source:United Nations Population Division World Population Prospects (2024 revision): https://population.un.org/wpp/ Data Dictionary: The data is collated with the following columns:Column headingContent of this columnPossible valuesRefNumerical counter for each row of data, for ease of identification1+CountryShort name for the country195 countries in total – all 194 WHO member states plus PalestineISO3Three-digit alphabetical codes International Standard ISO 3166-1 assigned by the International Organization for Standardization (ISO). e.g. AFG (Afghanistan)ISO22 letter identifier code for the countrye.g. AF (Afghanistan)ICM_regionICM Region for countryAFR (Africa), AMR (Americas), EMR (Eastern Mediterranean), EUR (Europe), SEAR (South east Asia) or WPR (Western Pacific)CodeUnique project code for each indicator:GGTXXnnnGG=data group e.g. OU for outcomeT = N for novice or E for ExpertXX = identifier number 00 to 30nnn = identifier name eg mmre.g. OUN01sbafor Outcome Novice Indicator 01 skilled birth attendance Short_nameIndicator namee.g. maternal mortality ratioDescriptionText description of the indicator to be used on websitee.g. Maternal mortality ratio (maternal deaths per 100,000 live births)Value_typeDescribes the indicator typeNumeric: decimal numberPercentage: value between 0 & 100Text: value from list of text optionsY/N: yes or noValue_categoryExpect this to be ‘total’ for all indicators for Phase 1, but this could allow future disaggregation, e.g. male/female; urban/ruraltotalYearThe year that the indicator value was reported. For most indicators, we will only report if 2014 or more recente.g. 2020Latest_Value‘LATEST’ if this is the most recent reported value for the indicator since 2014, otherwise ‘No’. Useful for indicators with time trend data.LATEST or NOValueIndicator valuee.g. 99.8. NB Some indicators are calculated to several decimal places. We present the value to the number of decimal places that should be displayed on the Hub.SourceFor Caesarean birth rate [OUN13cbr] ONLY, this column indicates the source of the data, either OECD when reported, or UNICEF otherwise.OECD or UNICEFTargetHow does the latest value compare with Global guidelines / targets?meets targetdoes not meet targetmeets global standarddoes not meet global standardRankGlobal rank for indicator, i.e. the country with the best global score for this indicator will have rank = 1, next = 2, etc. This ranking is only appropriate for a few indicators, others will show ‘na’1-195Rank out ofThe total number of countries who have reported a value for this indicator. Ranking scores will only go as high as this number.Up to 195TrendIf historic data is available, an indication of the change over time. If there is a global target, then the trend is either getting better, static or getting worse. For mmr [OUN04mmr] and nmr [OUN05nmr] the average annual rate of reduction (arr) between 2016 and latest value is used to determine the trend:arr <-1.0 = getting worsearr >=-1.0 AND <=1.0 = staticarr >1.0 = getting betterFor other indicators, the trend is estimated by comparing the average of the last three years with the average ten years ago:decreasing if now < 95% 10 yrs agoincreasing if now > 105% 10 yrs agostatic otherwiseincreasingdecreasing Or, if there is a global target: getting better,static,getting worseNotesClarification comments, when necessary LongitudeFor use with mapping LatitudeFor use with mapping DateDate data uploaded to the Hub the following codes are also possible values: not reported does not apply don’t know This is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

This dataset shows the percentage of newborns who received postnatal care from a trained health provider within two days of birth, based on UNICEF’s 'Delivery Care' dataset. Early postnatal care is essential for detecting complications such as infection, low birth weight, or feeding difficulties. This indicator supports efforts to strengthen newborn survival and improve health service delivery during the most vulnerable period of life.Data Dictionary: The data is collated with the following columns:Column headingContent of this columnPossible valuesRefNumerical counter for each row of data, for ease of identification1+CountryShort name for the country195 countries in total – all 194 WHO member states plus PalestineISO3Three-digit alphabetical codes International Standard ISO 3166-1 assigned by the International Organization for Standardization (ISO). e.g. AFG (Afghanistan)ISO22 letter identifier code for the countrye.g. AF (Afghanistan)ICM_regionICM Region for countryAFR (Africa), AMR (Americas), EMR (Eastern Mediterranean), EUR (Europe), SEAR (South east Asia) or WPR (Western Pacific)CodeUnique project code for each indicator:GGTXXnnnGG=data group e.g. OU for outcomeT = N for novice or E for ExpertXX = identifier number 00 to 30nnn = identifier name eg mmre.g. OUN01sbafor Outcome Novice Indicator 01 skilled birth attendance Short_nameIndicator namee.g. maternal mortality ratioDescriptionText description of the indicator to be used on websitee.g. Maternal mortality ratio (maternal deaths per 100,000 live births)Value_typeDescribes the indicator typeNumeric: decimal numberPercentage: value between 0 & 100Text: value from list of text optionsY/N: yes or noValue_categoryExpect this to be ‘total’ for all indicators for Phase 1, but this could allow future disaggregation, e.g. male/female; urban/ruraltotalYearThe year that the indicator value was reported. For most indicators, we will only report if 2014 or more recente.g. 2020Latest_Value‘LATEST’ if this is the most recent reported value for the indicator since 2014, otherwise ‘No’. Useful for indicators with time trend data.LATEST or NOValueIndicator valuee.g. 99.8. NB Some indicators are calculated to several decimal places. We present the value to the number of decimal places that should be displayed on the Hub.SourceFor Caesarean birth rate [OUN13cbr] ONLY, this column indicates the source of the data, either OECD when reported, or UNICEF otherwise.OECD or UNICEFTargetHow does the latest value compare with Global guidelines / targets?meets targetdoes not meet targetmeets global standarddoes not meet global standardRankGlobal rank for indicator, i.e. the country with the best global score for this indicator will have rank = 1, next = 2, etc. This ranking is only appropriate for a few indicators, others will show ‘na’1-195Rank out ofThe total number of countries who have reported a value for this indicator. Ranking scores will only go as high as this number.Up to 195TrendIf historic data is available, an indication of the change over time. If there is a global target, then the trend is either getting better, static or getting worse. For mmr [OUN04mmr] and nmr [OUN05nmr] the average annual rate of reduction (arr) between 2016 and latest value is used to determine the trend:arr <-1.0 = getting worsearr >=-1.0 AND <=1.0 = staticarr >1.0 = getting betterFor other indicators, the trend is estimated by comparing the average of the last three years with the average ten years ago:decreasing if now < 95% 10 yrs agoincreasing if now > 105% 10 yrs agostatic otherwiseincreasingdecreasing Or, if there is a global target: getting better,static,getting worseNotesClarification comments, when necessary LongitudeFor use with mapping LatitudeFor use with mapping DateDate data uploaded to the Hubthe following codes are also possible values:not reported does not apply don’t knowThis is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

This dataset presents the number of neonatal deaths per 1,000 live births, using data from the UNICEF Data Warehouse. Neonatal mortality refers to the death of a baby within the first 28 days of life and is a critical indicator of newborn health and health system performance. Monitoring this rate supports efforts to improve the quality of care around birth and during the early postnatal period, and to reduce preventable newborn deaths through timely, skilled interventions.Data Source:UNICEF Data Warehouse: https://data.unicef.org/resources/data_explorer/unicef_f/?ag=UNICEF&df=GLOBAL_DATAFLOW&ver=1.0&dq=.CME_MRM0.&startPeriod=1990&endPeriod=2024Data Dictionary: The data is collated with the following columns:Column headingContent of this columnPossible valuesRefNumerical counter for each row of data, for ease of identification1+CountryShort name for the country195 countries in total – all 194 WHO member states plus PalestineISO3Three-digit alphabetical codes International Standard ISO 3166-1 assigned by the International Organization for Standardization (ISO). e.g. AFG (Afghanistan)ISO22 letter identifier code for the countrye.g. AF (Afghanistan)ICM_regionICM Region for countryAFR (Africa), AMR (Americas), EMR (Eastern Mediterranean), EUR (Europe), SEAR (South east Asia) or WPR (Western Pacific)CodeUnique project code for each indicator:GGTXXnnnGG=data group e.g. OU for outcomeT = N for novice or E for ExpertXX = identifier number 00 to 30nnn = identifier name eg mmre.g. OUN01sbafor Outcome Novice Indicator 01 skilled birth attendance Short_nameIndicator namee.g. maternal mortality ratioDescriptionText description of the indicator to be used on websitee.g. Maternal mortality ratio (maternal deaths per 100,000 live births)Value_typeDescribes the indicator typeNumeric: decimal numberPercentage: value between 0 & 100Text: value from list of text optionsY/N: yes or noValue_categoryExpect this to be ‘total’ for all indicators for Phase 1, but this could allow future disaggregation, e.g. male/female; urban/ruraltotalYearThe year that the indicator value was reported. For most indicators, we will only report if 2014 or more recente.g. 2020Latest_Value‘LATEST’ if this is the most recent reported value for the indicator since 2014, otherwise ‘No’. Useful for indicators with time trend data.LATEST or NOValueIndicator valuee.g. 99.8. NB Some indicators are calculated to several decimal places. We present the value to the number of decimal places that should be displayed on the Hub.SourceFor Caesarean birth rate [OUN13cbr] ONLY, this column indicates the source of the data, either OECD when reported, or UNICEF otherwise.OECD or UNICEFTargetHow does the latest value compare with Global guidelines / targets?meets targetdoes not meet targetmeets global standarddoes not meet global standardRankGlobal rank for indicator, i.e. the country with the best global score for this indicator will have rank = 1, next = 2, etc. This ranking is only appropriate for a few indicators, others will show ‘na’1-195Rank out ofThe total number of countries who have reported a value for this indicator. Ranking scores will only go as high as this number.Up to 195TrendIf historic data is available, an indication of the change over time. If there is a global target, then the trend is either getting better, static or getting worse. For mmr [OUN04mmr] and nmr [OUN05nmr] the average annual rate of reduction (arr) between 2016 and latest value is used to determine the trend:arr <-1.0 = getting worsearr >=-1.0 AND <=1.0 = staticarr >1.0 = getting betterFor other indicators, the trend is estimated by comparing the average of the last three years with the average ten years ago:decreasing if now < 95% 10 yrs agoincreasing if now > 105% 10 yrs agostatic otherwiseincreasingdecreasing Or, if there is a global target: getting better,static,getting worseNotesClarification comments, when necessary LongitudeFor use with mapping LatitudeFor use with mapping DateDate data uploaded to the Hubthe following codes are also possible values:not reported does not apply don’t knowThis is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

IL: Total Fertility Rate: Children per Woman data was reported at 2.980 Person in 2021. This records a decrease from the previous number of 3.030 Person for 2020. IL: Total Fertility Rate: Children per Woman data is updated yearly, averaging 2.975 Person from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 3.280 Person in 2016 and a record low of 2.840 Person in 2005. IL: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Israel – Table IL.OECD.GGI: Social: Demography: OECD Member: Annual.

Multivector System Analysis of the Long-Term Viability of the Russian Civilization Model (Dataset v1.0, 2024–2025)

The dataset (v1.0) presents an independent systemic analysis of the Russian model of civilization with a horizon >50 years.

The structure follows the framework of 14 indicators (D1–D14) , enabling further comparison with the West / China / Global South.

Indicators :

D1 — Social structure · D2 — Economy · D3 — Politics · D4 — Philosophy/ideology ·

D5 — Education · D6 — Science · D7 — Ecology · D8 — Ethics/empathy ·

D9 — Media · D10 — Army/defense · D11 — Culture · D12 — Family/children ·

D13 — Demography · D14 — Long-term resilience.

Key figures (2024)

- Military budget: ≈ $109B.

- GDP (nominal): ≈ $2.24T; PPP: ≈ $5.1T.

- Fertility rate:≈ 1.4 (below replacement level 2.1).

- Population 65+: ≈ 16%.

- Ecology: funding < 1% of GDP.

- Education/science : strong institutions but underfunded relative to OECD average.

Dataset content

- Table D1–D14 with short assessments and comments.

- Supplementary notes on data (2024–2025).

- Basic reference list (statistics and reviews).

Purpose :

An open foundation for comparative analysis of trajectories (Russia ↔ other models) and for discussion of strategies of ong-term viability .

---

Conclusions :

1) Strengths : historical depth of institutions, cultural cohesion, defense autonomy.

2) Systemic risks. : fertility <2.1; underfunding of science/ecology; vulnerability to resource cycles.

3) Long-term viability requires shifting the focus from a resource economy to a potential economy :

education+science, ecology as a foundation, support for family/children as the highest value , not as a resource.

4) Metric of success : growth of human potential and its contribution to innovation > short-term profit.

Version: v1.0 · Date: 2025-09-14

License: CC BY-NC-SA 4.0

Author: Independent Researcher — Maksym Marnov (Alchimist) · ORCID: 0009-0000-0832-9597

Belgium BE: Total Fertility Rate: Children per Woman data was reported at 1.380 Person in 2023. This records a decrease from the previous number of 1.550 Person for 2022. Belgium BE: Total Fertility Rate: Children per Woman data is updated yearly, averaging 1.655 Person from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 1.850 Person in 2010 and a record low of 1.380 Person in 2023. Belgium BE: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Belgium – Table BE.OECD.GGI: Social: Demography: OECD Member: Annual.

Slovenia SI: Total Fertility Rate: Children per Woman data was reported at 1.630 Person in 2021. This records an increase from the previous number of 1.590 Person for 2020. Slovenia SI: Total Fertility Rate: Children per Woman data is updated yearly, averaging 1.405 Person from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 1.630 Person in 2021 and a record low of 1.200 Person in 2003. Slovenia SI: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Slovenia – Table SI.OECD.GGI: Social: Demography: OECD Member: Annual.

Serbia RS: Total Fertility Rate: Children per Woman data was reported at 1.500 Person in 2023. This records a decrease from the previous number of 1.520 Person for 2022. Serbia RS: Total Fertility Rate: Children per Woman data is updated yearly, averaging 1.440 Person from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 1.650 Person in 1990 and a record low of 1.320 Person in 2007. Serbia RS: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Serbia – Table RS.OECD.GGI: Social: Demography: Non OECD Member: Annual.

China Total Fertility Rate: Children per Woman data was reported at 1.160 Person in 2021. This records a decrease from the previous number of 1.280 Person for 2020. China Total Fertility Rate: Children per Woman data is updated yearly, averaging 1.635 Person from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 2.510 Person in 1990 and a record low of 1.160 Person in 2021. China Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.GGI: Social: Demography: Non OECD Member: Annual.

Peru PE: Total Fertility Rate: Children per Woman data was reported at 1.980 Person in 2023. This records a decrease from the previous number of 2.000 Person for 2022. Peru PE: Total Fertility Rate: Children per Woman data is updated yearly, averaging 2.600 Person from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 3.910 Person in 1990 and a record low of 1.980 Person in 2023. Peru PE: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Peru – Table PE.OECD.GGI: Social: Demography: Non OECD Member: Annual.