Under request of PLoS ONE journal and in order to contribute to the transparency and replicability of research, the authors of the study “A performance analysis of public expenditure on maternal health in Mexico”; made the data available. Any other use than exploring or replicating the results of the afore-mentioned paper_inc is not authorized and shall not be used without previous authorization of the researchers. If you are interested in analyzing this database for original research purpose please contact Leticia Avila-Burgos (PI of the original study- leticia.avila@insp.mx) or Hustavo Nigenda (corresponding author- gnigenda@outlook.com)

Comprehensive dataset of 3 Reproductive health clinics in Mississippi, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset containing 2 verified Reproductive health clinic businesses in Tyumen Oblast, Russia with complete contact information, ratings, reviews, and location data.

Georgia GE: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data was reported at 82.400 % in 2018. Georgia GE: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data is updated yearly, averaging 82.400 % from Dec 2018 (Median) to 2018, with 1 observations. The data reached an all-time high of 82.400 % in 2018 and a record low of 82.400 % in 2018. Georgia GE: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Social: Health Statistics. Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.;Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html).;;This is the Sustainable Development Goal indicator 5.6.1[https://unstats.un.org/sdgs/metadata/].

Comprehensive dataset of 10 Reproductive health clinics in East Kalimantan, Indonesia as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Databases for three populations studied in above formative research in Stata 13. Final report document also attached with questionnaires as annex. Coding corresponds to question number.

Chad TD: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data was reported at 27.100 % in 2015. Chad TD: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data is updated yearly, averaging 27.100 % from Dec 2015 (Median) to 2015, with 1 observations. The data reached an all-time high of 27.100 % in 2015 and a record low of 27.100 % in 2015. Chad TD: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.;Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html).;;This is the Sustainable Development Goal indicator 5.6.1[https://unstats.un.org/sdgs/metadata/].

Series Name: (S.1) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care information and education: Section 1: Maternity Care (percent)Series Code: SH_LGR_ACSRHES1Release Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.6.2: Number of countries with laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and educationTarget 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferencesGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Series Name: (S.2.C.7) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care information and education: Component 7: Emergency Contraception (percent)Series Code: SH_LGR_ACSRHEC7Release Version: 2021.Q2.G.03 This dataset is part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.6.2: Number of countries with laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and educationTarget 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferencesGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Series Name: (S.4.C.12) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care information and education: Component 12: HIV Confidentiality (percent)Series Code: SH_LGR_ACSRHEC12Release Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.6.2: Number of countries with laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and educationTarget 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferencesGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

North Macedonia MK: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data was reported at 88.100 % in 2019. North Macedonia MK: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data is updated yearly, averaging 88.100 % from Dec 2019 (Median) to 2019, with 1 observations. The data reached an all-time high of 88.100 % in 2019 and a record low of 88.100 % in 2019. North Macedonia MK: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Macedonia – Table MK.World Bank.WDI: Social: Health Statistics. Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.;Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html).;;This is the Sustainable Development Goal indicator 5.6.1[https://unstats.un.org/sdgs/metadata/].

Series Name: (S.4) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care information and education: Section 4: HIV and HPV (percent)Series Code: SH_LGR_ACSRHES4Release Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.6.2: Number of countries with laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and educationTarget 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferencesGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Series Name: Proportion of women who make their own informed decisions regarding sexual relations contraceptive use and reproductive health care (percent of women aged 15-49 years)Series Code: SH_FPL_INFMRelease Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.6.1: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health careTarget 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferencesGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

There is a paucity of data on research funding levels for male reproductive health (MRH). We investigated the research funding for MRH and infertility by examining publicly accessible webdatabases from the UK and USA government funding agencies. Information on the funding was collected from the UKRI-GTR, the NIHR’s Open Data Summary, and the USA’s NIH RePORT webdatabases. Funded projects between January 2016 and December 2019 were recorded and funding support was divided into three research categories: (i) male-based; (ii) female-based; and (iii) not-specified. Between January 2016 and December 2019, UK agencies awarded a total of £11,767,190 to 18 projects for male-based research and £29,850,945 to 40 projects for female-based research. There was no statistically significant difference in the median funding grant awarded within the male-based and female-based categories (p=0.56, W=392). The USA NIH funded 76 projects totalling $59,257,746 for male-based research and 99 projects totalling $83,272,898 for female-based research Again, there was no statistically significant difference in the median funding grant awarded between the two research categories (p=0.83, W=3834). This is the first study examining funding granted by main government research agencies from the UK and USA for MRH. These results should stimulate further discussion of the challenges of tackling male infertility and reproductive health disorders and formulating appropriate investment strategies. Methods Experimental Design: Publicly accessible UK Research and Innovation (UKRI), National Institute for Health Research (NIHR), and National Institutes of Health (NIH) funding agency databases covering awards from January 2016 to December 2019 were examined (see Supplementary Table 1). Following the inclusion and exclusion criteria outlined within Supplementary Tables 2,3, funding data were collected on research proposals investigating infertility and reproductive health. For simplicity, these are referred to collectively as ‘infertility research’. As the primary focus of this research is on infertility, the data were divided into three main categories: (i) male-based, (ii) female-based, and (iii) not-specified (Supplementary Table 2). The first two groups covered projects whose primary aim, based on the information presented in the research abstracts, timeline summaries and/or impact statements, was male- or female-focussed. “Not-specified” includes research projects that have either not specified a primary focus towards either male or female or have explicitly stated a focus on both. The process was conducted and reviewed by E.G. with C.L.R.B. Total funding for all three groups, funding over time, and comparison with overall funding for a particular agency was examined. Briefly, E.G. retrieved the primary data and produced the first set of data for discussion with C.L.R.B. Both went through the complete list and discussed each study/project and decided whether: (a) it should be included or not, and (b) what category does it fell under (male-, female-, or not-specified). The abstracts, which were almost always available and provided by each research study, were all examined and scrutinised by both E.G. and C.L.R.B together. If there was clear disagreement between E.G. and C.L.R.B, which were very rare, the project would not be included. UK Data Collection: From April 2018 the UK research councils, Innovate UK, and Research England are reported under one organization, the UKRI (2019). The councils independently fund research projects according to their respective visions and missions; however, until 2018/19, their annual funding expenditures were reported under the UKRI’s annual reports and budgets. The UKRI’s Gateway to Research (UKRI-GTR) web database allows users to analyse the information provided on taxpayer-funded research. Relevant search terms such as “male infertility” or “female reproductive health” (see Supplementary Table 2) were applied with appropriate database filters (Supplementary Table 1). The project award relevance was determined by assessing the objectives in project abstracts, timeline summaries, and planned impacts. Supplementary Tables 1, 2 and 3 provide the search filters and the reference criteria for inclusion/exclusion utilized for analysis. The UKRI-GTR provides the total funding granted to the projects within a designated period. Data obtained from the NIHR had minor differences. The NIHR has 6 datasets. The Open Data Summary View dataset was used as it provided details on funded projects, grants, summary abstracts, and project dates. Like the UKRI data, the NIHR excel datasheet had specific search terms and filters applied to sift out irrelevant projects (Supplementary Tables 1-3). The UKRI councils and NIHR report their annual expenditure and budgets for 1st April to 31st March. Thus, the projects will fall under the funding period of when their research activities begin (e.g. if a project’s research activities undergo between May 20th, 2017, to March 20th, 2019, this project will be categorized under the funding period 2017/18). The projects collected would begin their investigations between January 2016 to December 2019, therefore 5 consecutive funding periods were examined (2015/16, 2016/17, 2017/18, 2018/19, and 2019/20). The UK data collection period ran between October 2020 to December 2020. USA Data Collection: The NIH has a research portfolio online operating tools sites (RePORT) providing access to their research activities, such as previously funded research, active research projects, and information on NIH’s annual expenditures. The RePORT-Query database has similar features as the UKRI-GTR and NIHR such as providing information on project abstracts, research impact, start- and end-dates, funding grants, and type of research. Like the UK data collection, appropriate search terms were inputted with the database filters applied and followed the same inclusion-exclusion criteria (Supplementary Tables 1, 2, and 3). The UK and US agencies present data on funded research under different calendar and funding periods because the US’ federal tax policy requires federal bodies to report all funding expenses under a fiscal year (FY). The NIH’s FY follows a calendar period from October 1st to September 30th (e.g., FY2016 comprises funding activity from October 1st, 2015, to September 30th, 2016). Projects running over one calendar period are reported several times under consecutive fiscal years and the funds are divided according to the annual period of the project’s activity. During data collection, 74 projects were found as active with incomplete funding sums as the NIH divides the grants according to the budgeting period of every FY. The NIH are in the process of granting funds for the FY2021, so projects ending in 2020 or 2021 provide a complete funding sum. For the active projects ending after 2021, incomplete funding data is provided. It is assumed the funding will increase in value by the time the research ends in the future, but the final awarded sum is unknown. To remain consistent with the UK data, projects granted funding are totalled as one figure and recorded under the FY the project first began research, whether they are active or completed. Thus US funding is referred to as “Current Total Funding”. When going through the REPORTER database, the NIH present the same research project multiple times for every funded fiscal year with consecutive project reference IDs. Therefore, for simplicity, we only included the first project reference ID. For more information on deciphering NIH's project's IDs, see https://era.nih.gov/files/Deciphering_NIH_Application.pdf. For the USA, the initial data collection period ran between October 2020 to December 2020 but then restarted for a brief period in January 2021 to add up the remaining funding values for some of the active research projects. Data Analysis: The data was divided into three main groups and organized into the funding period or FY the project was first awarded. R-Studio (Version 1.3.1093) was utilized for the data analysis. Box-and-whisker plots are presented with rounded P-values. Kruskal-Wallis and Wilcoxon Rank Sum tests were generated to assess any statistical significance. The data was independently collected and does not assume a normal distribution, so the rank-based, non-parametric tests such as the Kruskal-Wallis and Wilcoxon Rank Sum were used. Research Project Details Included in the Collection Datasets: For both, the UK and USA data, we included the following details:

The project (or study) titles The Project IDs (also referred to as Project Reference or Project Number) The project Start and End Dates The project's Status (identified by the end dates or if explicitly stated in the database) The Funding Organisation (for the UK) and Admin Institute (for the USA) that are funding the research The project Category (i.e. Research Grants or Fellowships) The Amount Granted (for the USA, the funding values were summed up to the most recent awarding date).

Rearranging/Processing Data for Analysis: After the data collection has been completed, the data was processed into a simpler format in Notepad in order to perform the statistical analyses using RStudio. For that, only the essential details were included and organised that the RStudio system would recognise and analyse the information effectively and efficiently. The project Type (male, female or not-specifieded), funding sum for the respective research project Type, and the funding period (UK) / FY (USA) were included. These details were then arranged appropriately to produce box-and-whisker plots with P-values, perform the chosen statistical analysis tests, and produce the data statistics in RStudio. As mentioned earlier, the funding period/fiscal years were added following the timeframes set out by the respective countries.

Comprehensive dataset of 21 Reproductive health clinics in Lampung, Indonesia as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

They are women who migrated after 2018, considered by UNHCR as Venezuelans displaced abroad, people who are likely to be in need of international protection, requiring protection against forced returns and access to basic services, regardless of age, educational level and migration status. The population is a database of migrant population of which 2,495 are women of legal age who migrated from Venezuela between April and May 2019, through the migratory corridor between Ureña/San Antonio and Villa del Rosario Cúcuta, digesting to different destinations in South America including Colombia. It is a population that has continued to be linked to the High Border Studies Group (ALEF) of the Simon Bolivar University, because it has been consulted for various studies to study the living conditions in the host countries. And in this study we want to make visible the need to understand the conditions of female migration in terms of access to and exercise of SRR. The sampling frame design was non-probabilistic. An online survey was applied to 2495 women during April 1 to June 3, 2021, obtaining the response of 86 women (sample for this study). 3.5%

About MCH Data Connect The MCH Data Connect provides public health professionals, researchers, practitioners, policy makers and students with a comprehensive catalog of maternal and child health data resources. Users can access a variety of databases, data sets, interactive tools, and maps related to their area of interest. Maternal and Child Health The MCH Data Connect uses a broad definition of Maternal and Child Health, including the influence of access to health care, health, health behaviors, education, violence, environmental conditions, demographics, and policy on the health of women, men, children, youth, families and communities. Topics Topics included in the MCH Data Connect: health care policy, experience of health care, family planning, sexual and reproductive health, economics, politics, social services, violence, and health behaviors, among others. Data Resources Data resources described in this catalog include data sets, statistics, interactive tables, interactive maps, and databases. Many of the data sources are available for public consumption, though specific databases may require th e user to purchase or apply for the dataset. Basic Search Locate the "Search Studies" highlighted box above the list of resource on the MCH Data Connect homepage. Leave "Cataloging Information" as the default basic search command. To search, enter the keyword, topic or area of interest in field box (next to "Cataloging Information") to obtain a list of resources that apply to your search. Access Resource Once the search is completed, a list of resources will appea r. The first line provides a brief summary. To get more information (including producer, background, user functionality and data sources) about the specific resource, click on the underlined/ blue hyperlinked title. Once the resource description is opened, click on the link that says “Click here to access data from site” to go directly to the resource's web page. Advanced Search Click on the "Advanced Search" link located in the "Search Studies" highlighted box above the list of resources on the MCH Data Connect homepage. From the Search Scope drop down lists, enter either Keyword or Abstract (these are the most detailed fields used by the MCH Data Connect). Enter multiple search terms to use the “and” searching criterion. For example, to search for resources related to diabetes and exercise, the user would select "Keyword" from the drop d own list, "contains" and then enter "diabetes" in the field box. The user would repeat the first two steps to enter "exercise" in the next field box. Collections The Topic Folders section provides a list of broad categories that include many resources found in the MCH Data Connect. The files of the Topic Folders are on the left side of the homepage. Clicking on a file folder will result in a list of the resources that are related to the topic. The Topic Folders offer a starting place for your search. You can narrow your search further by performing either of the previous two searching techniques within a collection. Qu estions or Comments? For questions, comments, or if you think we missed a useful information tool, please contact us via email at mchdataconnect@gmail.com. Glossary Some terms you will see on this website are unique to the cataloging service, Dataverse; The MCH Data Connect uses them differently. Please see below for a glossary of terms you will find at MCH Data Connect. Please note that interactive tools, datasets, and reports are referred to as “resources.” Te rms Dataverse, the program used to develop the MCH Data Connect Study, resource containing relevant public health data and/or information Collection, broad categories into which resources have been classified How to Cite, used as the resource title by MCH Data Connect Study Global ID, unique code given to each resource Producer, the agency or entity that produces and maintains the resource< /p> Deposit Date, date when resource was added to the MCH Data Connect Provenance, will always be MCH Data Connect Abstract and Scope, contains resource summary and geographic unit information Abstract, summary of the resource Background, information about the purpose and development of the resource User Functionality, what users can do with the data (i.e. download, customize charts) Dat a Notes, information about data sources, years and samples (if applicable) Abstract Date, month and year that resource was added to MCH Data Connect Keyword, specific variables, topics, or words that the resource addresses/encompasses Geographic Unit, level at which data is available Title, name of specific resource Keyword Vocabulary, “link:” clicking on “link” will take user to an external website relate d to the keyword term. The following terms are not used by the MCH Data Connect Dataverse: Topic Classification; Topic Classification Vocabulary; Other ID; Author; Distributor; Funding Agency; Production Date; Distribution Date; Time Period Covered Start; Time...

Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.

Panama PA: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data was reported at 79.100 % in 2014. Panama PA: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data is updated yearly, averaging 79.100 % from Dec 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 79.100 % in 2014 and a record low of 79.100 % in 2014. Panama PA: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Panama – Table PA.World Bank.WDI: Social: Health Statistics. Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.;Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html).;;This is the Sustainable Development Goal indicator 5.6.1[https://unstats.un.org/sdgs/metadata/].

General barriers to sexual and reproductive health services collapsed across sub-categories.