Moldova MD: Urban Population: % of Total Population data was reported at 42.557 % in 2017. This records an increase from the previous number of 42.511 % for 2016. Moldova MD: Urban Population: % of Total Population data is updated yearly, averaging 42.573 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 46.856 % in 1989 and a record low of 23.424 % in 1960. Moldova MD: Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Moldova – Table MD.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2018 Revision.; Weighted average;

Moldova MD: Children Out of School: Primary data was reported at 15,066.000 Person in 2015. This records an increase from the previous number of 14,871.000 Person for 2014. Moldova MD: Children Out of School: Primary data is updated yearly, averaging 14,408.000 Person from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 18,507.000 Person in 2000 and a record low of 6,717.000 Person in 2004. Moldova MD: Children Out of School: Primary data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Moldova – Table MD.World Bank.WDI: Education Statistics. Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.; ; UNESCO Institute for Statistics; Sum; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Monthly data on federally administered Supplemental Security Income payments.

2018-2023 Statistics on the work of the Legal Department

Moldova MD: Population: Female: Ages 80 and Above: % of Female Population data was reported at 3.074 % in 2017. This records an increase from the previous number of 3.001 % for 2016. Moldova MD: Population: Female: Ages 80 and Above: % of Female Population data is updated yearly, averaging 1.570 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3.074 % in 2017 and a record low of 1.166 % in 1965. Moldova MD: Population: Female: Ages 80 and Above: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Moldova – Table MD.World Bank: Population and Urbanization Statistics. Female population between the ages 80 and above as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

Moldova MD: Population: Female: Ages 10-14: % of Female Population data was reported at 4.648 % in 2017. This records an increase from the previous number of 4.590 % for 2016. Moldova MD: Population: Female: Ages 10-14: % of Female Population data is updated yearly, averaging 8.179 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 10.684 % in 1969 and a record low of 4.590 % in 2016. Moldova MD: Population: Female: Ages 10-14: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Moldova – Table MD.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 10 to 14 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Moldova MD: Literacy Rate: Youth Female: % of Females Aged 15-24 data was reported at 99.586 % in 2012. This records a decrease from the previous number of 99.652 % for 2000. Moldova MD: Literacy Rate: Youth Female: % of Females Aged 15-24 data is updated yearly, averaging 99.652 % from Dec 1989 (Median) to 2012, with 3 observations. The data reached an all-time high of 99.739 % in 1989 and a record low of 99.586 % in 2012. Moldova MD: Literacy Rate: Youth Female: % of Females Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Moldova – Table MD.World Bank.WDI: Education Statistics. Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

This User Guide contains information about the NSUL including: directory content; data currency; the methodology for assigning areas to postcodes; data formats; data quality and limitations and details of recent changes that have impacted on the data. Various annexes and tables provide more detailed supporting information. The download includes PDF and ODT versions of the user guide. (File size - 405 KB)

This dataset reflects is for the Individual Shelter & Rescue Statistics that were reported in 2018 for the 2017 Calendar year. Although PACFA requires this data to be submitted and takes all care possible to ensure the validity of this data, we do not control, and therefore guarantee, the complete accuracy, completeness and availability of data. PACFA believes this information to be within ± 4% margin of error. The CDA-PACFA is not responsible for any issues that may arise from the use of this data.

This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.

The CMS Program Statistics - Medicare Physician, Non-Physician Practitioner and Supplier tables provide use and payment data for physicians, other practitioners, limited-licensed practitioners, and durable medical equipment, prosthetic, and orthotic (DMEPOS) suppliers.

For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.

These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data.

Below is the list of tables:

MDCR PHYSSUPP 1. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR PHYSSUPP 2. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PHYSSUPP 3. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Area of Residence MDCR PHYSSUPP 4. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Type of Service MDCR PHYSSUPP 5. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Place of Service MDCR PHYSSUPP 6. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Physician Specialty MDCR PHYSSUPP 7. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization and Program Payments for Original Medicare Beneficiaries, by Berenson-Eggers Type of Service (BETOS) Classification

This dataset is a polygon coverage of counties limited to the extent of the Pond Creek coal bed resource areas and attributed with statistics on the thickness of the Pond Creek coal zone, its elevation, and overburden thickness, in feet. The file has been generalized from detailed geologic coverages found elsewhere in Professional Paper 1625-C.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains Bureau of Labor Statistics data. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

List of footnotes, notes, and source information for NHIS Adult Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Adults Summary Statistics Dataset.