Seychelles SC: Rural Population Growth data was reported at 0.246 % in 2017. This records a decrease from the previous number of 0.367 % for 2016. Seychelles SC: Rural Population Growth data is updated yearly, averaging 0.621 % from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 4.274 % in 1987 and a record low of -3.454 % in 2011. Seychelles SC: Rural Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;

Seychelles SC: Rural Population data was reported at 41,921.000 Person in 2017. This records an increase from the previous number of 41,818.000 Person for 2016. Seychelles SC: Rural Population data is updated yearly, averaging 34,998.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 41,921.000 Person in 2017 and a record low of 30,160.000 Person in 1960. Seychelles SC: Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Sum;

Seychelles SC: Rural Population: % of Total Population data was reported at 45.459 % in 2017. This records a decrease from the previous number of 45.786 % for 2016. Seychelles SC: Rural Population: % of Total Population data is updated yearly, averaging 50.656 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 72.327 % in 1960 and a record low of 45.459 % in 2017. Seychelles SC: Rural Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2014 Revision.; Weighted average;

Summary File 4 (SF 4) from the United States 2000 Census contains the sample data, which is the information compiled from the questions asked of a sample of all people and housing units. Population items include basic population totals: urban and rural, households and families, marital status, grandparents as caregivers, language and ability to speak English, ancestry, place of birth, citizenship status, year of entry, migration, place of work, journey to work (commuting), school enrollment and educational attainment, veteran status, disability, employment status, industry, occupation, class of worker, income, and poverty status. Housing items include basic housing totals: urban and rural, number of rooms, number of bedrooms, year moved into unit, household size and occupants per room, units in structure, year structure built, heating fuel, telephone service, plumbing and kitchen facilities, vehicles available, value of home, monthly rent, and shelter costs. In Summary File 4, the sample data are presented in 213 population tables (matrices) and 110 housing tables, identified with "PCT" and "HCT" respectively. Each table is iterated for 336 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), 39 Hispanic or Latino groups, and 86 ancestry groups. The presentation of SF4 tables for any of the 336 population groups is subject to a population threshold. That is, if there are fewer than 100 people (100-percent count) in a specific population group in a specific geographic area, and there are fewer than 50 unweighted cases, their population and housing characteristics data are not available for that geographic area in SF4. For the ancestry iterations, only the 50 unweighted cases test can be performed. See Appendix H: Characteristic Iterations, for a complete list of characteristic iterations.

The China Multi-Generational Panel Dataset - Shuangcheng (CMGPD-SC) provides longitudinal individual, household, and community information on the demographic and socioeconomic characteristics of a resettled population living in Shuangcheng, a county in present-day Heilongjiang Province of Northeastern China, for the period from 1866 to 1913. The dataset includes some 1.3 million annual observations of over 100,000 unique individuals descended from families who were relocated to Shuangcheng in the early 19th century. These families were divided into 3 categories based on their place of origin: metropolitan bannermen, rural bannermen, and floating bannermen. The CMGPD-SC, like its Liaoning counterpart, the CMGPD-LN (ICPSR 27063), is a valuable data source for studying longitudinal as well as multi-generational social and demographic processes. The population categories had salient differences in social origins and land entitlements, and landholding data are available at a number of time periods, thus the CMGPD-SC is especially suitable to the study of stratification processes.

Seychelles SC: Rural Land Area data was reported at 187.966 sq km in 2010. This stayed constant from the previous number of 187.966 sq km for 2000. Seychelles SC: Rural Land Area data is updated yearly, averaging 187.966 sq km from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 187.966 sq km in 2010 and a record low of 187.966 sq km in 2010. Seychelles SC: Rural Land Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Land Use, Protected Areas and National Wealth. Rural land area in square kilometers, derived from urban extent grids which distinguish urban and rural areas based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Sum;

A dataset listing South Carolina zip codes by population for 2024.

This dataset provides population indicators for Himachal Pradesh for various years from 1950-51 to 2021-22. The indicators include the percentage of males and females to the total population, females per thousand males, the percentage of rural and urban population to the total population, and the percentage of SC and ST population to the total population.

Graph and download economic data for U.S. Granted Utility Patents Originating in Non Metro/Micropolitan Statistical Areas in South Carolina (PATENTCBSA900945) from 2000 to 2015 about rural, patent granted, patents, intellectual property, origination, SC, and USA.

In August 2021, the South Carolina Center for Rural and Primary Healthcare partnered with the University of North Carolina at Greensboro to produce South Carolina Public Libraries & Health: Needs and Opportunities, as part of its broader Rural Libraries and Health Cooperative Agreement program, funded by the the South Carolina Department of Health and Environmental via the Centers for Disease Control & Prevention National Initiative to Address COVID-19 Health Disparities Among Populations at High-Risk and Underserved, Including Racial and Ethnic Minority Population and Rural Communities, a non-research grant funded through the Coronavirus Response and Relief Supplemental Appropriations Act, 2021. The study documented a range of ways that South Carolina public libraries support health. It also assessed what needs public libraries have as they seek to support health in their communities. Based on that analysis, a model for continuing education to support the alignment of public libraries and health was developed. As an exploratory study, South Carolina Public Libraries & Health: Needs and Opportunities highlights implications for a variety of stakeholder groups including those working in the health sector at both local and state levels, as well as library workers and administrators, funders and policy makers, and researchers. Using snowball sampling techniques, 123 library workers from across the state completed a survey in September 2021 about their health partnerships and health-related continuing education needs; an additional 19 completed a portion of the survey. (2022-05-02)

In a survey conducted from August 2023 to July 2024, it was found that the Scheduled Caste (SC) groups in rural areas had an average monthly per capita consumption (MPCE) of ***** Indian rupees. Social groups excluding the SCs, STs, and OBCs had an average MPCE of ***** rupees.

Seychelles SC: Rural Land Area Where Elevation is Below 5 Meters data was reported at 44.144 sq km in 2010. This stayed constant from the previous number of 44.144 sq km for 2000. Seychelles SC: Rural Land Area Where Elevation is Below 5 Meters data is updated yearly, averaging 44.144 sq km from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 44.144 sq km in 2010 and a record low of 44.144 sq km in 2010. Seychelles SC: Rural Land Area Where Elevation is Below 5 Meters data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Land Use, Protected Areas and National Wealth. Rural land area below 5m is the total rural land area in square kilometers where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Sum;

Seychelles SC: Urban Land Area Where Elevation is Below 5 Meters: % of Total Land Area data was reported at 2.205 % in 2010. This stayed constant from the previous number of 2.205 % for 2000. Seychelles SC: Urban Land Area Where Elevation is Below 5 Meters: % of Total Land Area data is updated yearly, averaging 2.205 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 2.205 % in 2010 and a record low of 2.205 % in 2010. Seychelles SC: Urban Land Area Where Elevation is Below 5 Meters: % of Total Land Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Land Use, Protected Areas and National Wealth. Urban land area below 5m is the percentage of total land where the urban land elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;

Seychelles SC: Urban Population data was reported at 53,922.000 Person in 2017. This records an increase from the previous number of 52,859.000 Person for 2016. Seychelles SC: Urban Population data is updated yearly, averaging 33,962.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 53,922.000 Person in 2017 and a record low of 11,540.000 Person in 1960. Seychelles SC: Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Sum;

Abstract

The National Family Health Survey 2019-21 (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India, each state/union territory (UT), and for 707 districts.

The primary objective of the 2019-21 round of National Family Health Surveys is to provide essential data on health and family welfare, as well as data on emerging issues in these areas, such as levels of fertility, infant and child mortality, maternal and child health, and other health and family welfare indicators by background characteristics at the national and state levels. Similar to NFHS-4, NFHS-5 also provides information on several emerging issues including perinatal mortality, high-risk sexual behaviour, safe injections, tuberculosis, noncommunicable diseases, and the use of emergency contraception.

The information collected through NFHS-5 is intended to assist policymakers and programme managers in setting benchmarks and examining progress over time in India’s health sector. Besides providing evidence on the effectiveness of ongoing programmes, NFHS-5 data will help to identify the need for new programmes in specific health areas.

The clinical, anthropometric, and biochemical (CAB) component of NFHS-5 is designed to provide vital estimates of the prevalence of malnutrition, anaemia, hypertension, high blood glucose levels, and waist and hip circumference, Vitamin D3, HbA1c, and malaria parasites through a series of biomarker tests and measurements.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49
• Man age 15 to 54

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, all men age 15-54, and all children aged 0-5 resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

A uniform sample design, which is representative at the national, state/union territory, and district level, was adopted in each round of the survey. Each district is stratified into urban and rural areas. Each rural stratum is sub-stratified into smaller substrata which are created considering the village population and the percentage of the population belonging to scheduled castes and scheduled tribes (SC/ST). Within each explicit rural sampling stratum, a sample of villages was selected as Primary Sampling Units (PSUs); before the PSU selection, PSUs were sorted according to the literacy rate of women age 6+ years. Within each urban sampling stratum, a sample of Census Enumeration Blocks (CEBs) was selected as PSUs. Before the PSU selection, PSUs were sorted according to the percentage of SC/ST population. In the second stage of selection, a fixed number of 22 households per cluster was selected with an equal probability systematic selection from a newly created list of households in the selected PSUs. The list of households was created as a result of the mapping and household listing operation conducted in each selected PSU before the household selection in the second stage. In all, 30,456 Primary Sampling Units (PSUs) were selected across the country in NFHS-5 drawn from 707 districts as on March 31st 2017, of which fieldwork was completed in 30,198 PSUs.

For further details on sample design, see Section 1.2 of the final report.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Four survey schedules/questionnaires: Household, Woman, Man, and Biomarker were canvassed in 18 local languages using Computer Assisted Personal Interviewing (CAPI).

Cleaning operations

Electronic data collected in the 2019-21 National Family Health Survey were received on a daily basis via the SyncCloud system at the International Institute for Population Sciences, where the data were stored on a password-protected computer. Secondary editing of the data, which required resolution of computer-identified inconsistencies and coding of open-ended questions, was conducted in the field by the Field Agencies and at the Field Agencies central office, and IIPS checked the secondary edits before the dataset was finalized.

Field-check tables were produced by IIPS and the Field Agencies on a regular basis to identify certain types of errors that might have occurred in eliciting information and recording question responses. Information from the field-check tables on the performance of each fieldwork team and individual investigator was promptly shared with the Field Agencies during the fieldwork so that the performance of the teams could be improved, if required.

Response rate

A total of 664,972 households were selected for the sample, of which 653,144 were occupied. Among the occupied households, 636,699 were successfully interviewed, for a response rate of 98 percent.

In the interviewed households, 747,176 eligible women age 15-49 were identified for individual women’s interviews. Interviews were completed with 724,115 women, for a response rate of 97 percent. In all, there were 111,179 eligible men age 15-54 in households selected for the state module. Interviews were completed with 101,839 men, for a response rate of 92 percent.

Location: Columbia, South Carolina Home Visiting Program Selected: Nurse Family Partnership Home Visiting Target Population: First-time, low income mothers, rural and underserved populations Project Overview: With this grant, South Carolina will focus on continuing to develop future NFP sites, particularly in rural and underserved communities, and establishing a comprehensive integrated infrastructure that addresses the currently fragmented home visiting system in the state. This will build on and extend work through outside funding that The Children's Trust Fund of South Carolina recently received to expand their current implementation of Nurse Family Partnership (NFP). Specifically, to expand NFP, South Carolina will: (1) develop outreach plans that identify strategies for addressing the needs of rural and underserved populations, such as Native American mothers; (2) add four to five new NFP sites in communities meeting the criteria of NFP determined readiness; and (3) continue to provide technical assistance to build capacity for future NFP sites. To develop an integrated infrastructure across home visiting programs, The Children’s Trust Fund will collaborate with other organization on developing a state-wide home visitation referral triage system that aims to match families with appropriate services. The proposed evaluation will include an implementation analysis and a pre-post analysis of outcomes. Metadata-only record linking to the original dataset. Open original dataset below.

Seychelles SC: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 16.637 % in 2010. This records a decrease from the previous number of 16.747 % for 2000. Seychelles SC: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 16.747 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 16.747 % in 1990 and a record low of 16.637 % in 2010. Seychelles SC: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Land Use, Protected Areas and National Wealth. Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;

Stroke and traumatic brain injury (TBI) are a significant cause of death and disability nationwide. Both are considered public health concerns in rural communities in the state of South Carolina (SC), particularly affecting the African American population resulting in considerable morbidity, mortality, and economic burden. Stem cell therapy (SCT) has emerged as a potential intervention for both diseases with increasing research trials showing promising results. In this perspective article, the authors aim to discuss the current research in the field of SCT, the results of early phase trials, and the utilization of outcome measures and biomarkers of recovery. We searched PubMed from inception to December 2023 for articles on stem cell therapy in stroke and traumatic brain injury and its impact on rural communities, particularly in SC. Early phase trials of SCT in Stroke and Traumatic Brain injury yield promising safety profile and efficacy results, but the findings have not yet been consistently replicated. Early trials using mesenchymal stem cells for stroke survivors showed safety, feasibility, and improved functional outcomes using broad and domain-specific outcome measures. Neuroimaging markers of recovery such as Functional Magnetic Resonance Imaging (fMRI) and electroencephalography (EEG) combined with neuromodulation, although not widely used in SCT research, could represent a breakthrough when evaluating brain injury and its functional consequences. This article highlights the role of SCT as a promising intervention while addressing the underlying social determinants of health that affect therapeutic outcomes in relation to rural communities such as SC. It also addresses the challenges ethical concerns of stem cell sourcing, the high cost of autologous cell therapies, and the technical difficulties in ensuring transplanted cell survival and strategies to overcome barriers to clinical trial enrollment such as the ethical concerns of stem cell sourcing, the high cost of autologous cell therapies, and the technical difficulties in ensuring transplanted cell survival and equitable healthcare.

Seychelles SC: Access to Electricity: Rural: % of Population data was reported at 100.000 % in 2016. This records an increase from the previous number of 99.839 % for 2015. Seychelles SC: Access to Electricity: Rural: % of Population data is updated yearly, averaging 90.340 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 100.000 % in 2016 and a record low of 79.397 % in 1990. Seychelles SC: Access to Electricity: Rural: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Energy Production and Consumption. Access to electricity, rural is the percentage of rural population with access to electricity.; ; World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.; Weighted average;

This web layer contains information about number of primary health center (PHCs) functioning, referral transport, registered rogi kalyan samiti (RKS), number of primary health center functioning as per IPHS norms. This provides information on state level.The attributes are given below:Sub Centre - Rural as on 31 March 2019Sub Centre - Urban as on 31 March 2019PHCs - Rural as on 31 March 2019PHCs - Urban as on 31 March 2019HWC-SC - Rural as on 31 March 2019HWC-SC - Urban as on 31 March 2019HWC-PHC - Rural as on 31 March 2019HWC-PHC - Urban as on 31 March 2019CHCs - Rural as on 31 March 2019CHCs - Urban as on 31 March 2019