Oman OM: Depth of Credit Information Index: 0=Low To 8=High data was reported at 6.000 NA in 2017. This stayed constant from the previous number of 6.000 NA for 2016. Oman OM: Depth of Credit Information Index: 0=Low To 8=High data is updated yearly, averaging 6.000 NA from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 6.000 NA in 2017 and a record low of 6.000 NA in 2017. Oman OM: Depth of Credit Information Index: 0=Low To 8=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Oman – Table OM.World Bank.WDI: Business Environment. Depth of credit information index measures rules affecting the scope, accessibility, and quality of credit information available through public or private credit registries. The index ranges from 0 to 8, with higher values indicating the availability of more credit information, from either a public registry or a private bureau, to facilitate lending decisions.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

The World Wide Lightning Location Network (WWLLN) has monitored global lightning since late 2004. Since 2013, the number of global WWLLN sensors has remained largely consistent. This WWLLN Monthly Thunder Hour dataset is calculated from lightning detections from 1 January 2013 onward and is an ongoing dataset. A thunder hour is an hour during which thunder can be heard at a given location. Thunder hours represent a historical measure of lightning occurrence and a metric of thunderstorm frequency that is comparatively less sensitive to geographic variations in the detection capabilities of a lightning location system. Thunder hours are the number of hours in a given month during which at least two WWLLN strokes were observed within 15 km of each grid point. Each file includes the monthly accumulated thunder hours for one year. The data are provided at 0.05° latitude and longitude resolution.

The global number of households with a computer in was forecast to continuously increase between 2024 and 2029 by in total 88.6 million households (+8.6 percent). After the fifteenth consecutive increasing year, the computer households is estimated to reach 1.1 billion households and therefore a new peak in 2029. Notably, the number of households with a computer of was continuously increasing over the past years.Computer households are defined as households possessing at least one computer.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of households with a computer in countries like Caribbean and Africa.

Bank Deposits: Rest of World data was reported at 1,260,426.000 NOK mn in Oct 2018. This records a decrease from the previous number of 1,282,666.000 NOK mn for Sep 2018. Bank Deposits: Rest of World data is updated monthly, averaging 220,934.000 NOK mn from Dec 1989 (Median) to Oct 2018, with 347 observations. The data reached an all-time high of 1,329,931.000 NOK mn in Oct 2015 and a record low of 37,550.000 NOK mn in Dec 1994. Bank Deposits: Rest of World data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.KB001: Deposits.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Borehole. The data include parameters of borehole with a geographic location of Japan, Eastern Asia. The time period coverage is from 450 to -54 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

The Gracillariidae is one of the largest families of primitive moths (Lepidoptera). Gracillariid moths are generally distributed throughout the world except Antarctica, and they are more numerous in tropical areas. Many species of Gracillariidae are serious pests of agricultural and ornamental plants. The Global Taxonomic Database of Gracillariidae currently holds information on 150 genus-group names and in total 2.427 species-group names, belonging to 111 genera.

United States Liabilities: Flow: Rest of the World (RW) data was reported at 125.168 USD bn in Mar 2018. This records a decrease from the previous number of 176.370 USD bn for Dec 2017. United States Liabilities: Flow: Rest of the World (RW) data is updated quarterly, averaging 10.277 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 453.176 USD bn in Jun 2007 and a record low of -152.541 USD bn in Dec 2015. United States Liabilities: Flow: Rest of the World (RW) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB034: Funds by Sector: Flows and Outstanding: Rest of the World.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Borehole. The data include parameters of borehole with a geographic location of Ireland, British Isles. The time period coverage is from 450 to -33 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

As of January 2025, around 13.7 percent of paid iOS apps admitted collecting data from users engaging with their mobile products. In comparison, approximately 53 percent of free-to-download iOS apps reported they collect private data from users worldwide, while approximately 86 percent of paid apps have not declared whether they collect users' privacy data.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Borehole. The data include parameters of borehole with a geographic location of Canada. The time period coverage is from 450 to -24 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Borehole. The data include parameters of borehole with a geographic location of Canada. The time period coverage is from 450 to -49 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Borehole. The data include parameters of borehole with a geographic location of Botswana, Southern Africa. The time period coverage is from 450 to -34 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Borehole. The data include parameters of borehole with a geographic location of Czech Republic, Eastern Europe. The time period coverage is from 450 to -16 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Code and data to generate GloPUT database. Data set description found in "Global pesticide use and trade database (GloPUT): New estimates show pesticide use trends in low-income countries substantially underestimated." (2023) Global Environmental Change.

Link to paper: https://doi.org/10.1016/j.gloenvcha.2023.102693

Djibouti DJ: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 17.200 % in 2017. This records a decrease from the previous number of 18.900 % for 2013. Djibouti DJ: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 18.050 % from Dec 2002 (Median) to 2017, with 4 observations. The data reached an all-time high of 18.900 % in 2013 and a record low of 15.400 % in 2002. Djibouti DJ: Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Djibouti – Table DJ.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Australia Account at a Financial Institution: Income: Richest 60%: % Aged 15+ data was reported at 99.159 % in 2014. This records a decrease from the previous number of 99.729 % for 2011. Australia Account at a Financial Institution: Income: Richest 60%: % Aged 15+ data is updated yearly, averaging 99.444 % from Dec 2011 (Median) to 2014, with 2 observations. The data reached an all-time high of 99.729 % in 2011 and a record low of 99.159 % in 2014. Australia Account at a Financial Institution: Income: Richest 60%: % Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Banking Indicators. Account at a financial institution denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution.; ; Demirguc-Kunt et al., 2015, Global Financial Inclusion Database, World Bank.; Weighted average;

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Borehole. The data include parameters of borehole with a geographic location of Tanzania, Eastern Africa. The time period coverage is from 450 to -44 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

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United States US: People Using Basic Drinking Water Services: % of Population data was reported at 99.200 % in 2015. This records an increase from the previous number of 99.195 % for 2014. United States US: People Using Basic Drinking Water Services: % of Population data is updated yearly, averaging 99.174 % from Dec 2005 (Median) to 2015, with 11 observations. The data reached an all-time high of 99.200 % in 2015 and a record low of 99.148 % in 2005. United States US: People Using Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;