Nigeria NG: Tariff Rate: Applied: Simple Mean: All Products data was reported at 12.440 % in 2016. This records an increase from the previous number of 11.270 % for 2015. Nigeria NG: Tariff Rate: Applied: Simple Mean: All Products data is updated yearly, averaging 23.000 % from Dec 1988 (Median) to 2016, with 23 observations. The data reached an all-time high of 87.190 % in 1995 and a record low of 9.940 % in 2009. Nigeria NG: Tariff Rate: Applied: Simple Mean: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Trade Tariffs. Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

A coastal vulnerability index (CVI) was used to map the relative vulnerability of the coast to future sea-level rise within Cumberland Island National Seashore in Georgia. The CVI ranks the following in terms of their physical contribution to sea-level rise-related coastal change: geomorphology, regional coastal slope, rate of relative sea-level rise, historical shoreline change rates, mean tidal range and mean significant wave height. The rankings for each input variable were combined and an index value calculated for 1-minute grid cells covering the park. The CVI highlights those regions where the physical effects of sea-level rise might be the greatest. This approach combines the coastal system's susceptibility to change with its natural ability to adapt to changing environmental conditions, yielding a quantitative, although relative, measure of the park's natural vulnerability to the effects of sea-level rise. The CVI and the data contained within this dataset provide an objective technique for evaluation and long-term planning by scientists and park managers.

A coastal vulnerability index (CVI) was used to map the relative vulnerability of the coast to future sea-level rise within Virgin Island National Park in St. John. The CVI ranks the following in terms of their physical contribution to sea-level rise-related coastal change: geomorphology, regional coastal slope, rate of relative sea-level rise, historical shoreline change rates, mean tidal range and mean significant wave height. The rankings for each input variable were combined and an index value calculated for 1-minute grid cells covering the park. The CVI highlights those regions where the physical effects of sea-level rise might be the greatest. This approach combines the coastal system's susceptibility to change with its natural ability to adapt to changing environmental conditions, yielding a quantitative, although relative, measure of the park's natural vulnerability to the effects of sea-level rise. The CVI and the data contained within this dataset provide an objective technique for evaluation and long-term planning by scientists and park managers.

The EOS-WEBSTER VEMAP2 Data Collection contains several datasets which provide historical and future climate variables, and monthly and annual biogeochemical model outputs.

Two Tclimate + TScenario Datasets provide annual mean historical and model-predicted climate data from 1895 to 2100 for a subset of the variable available in the monthly dataset. These variables include Tmin, Tmax, Precipitation and Solar Radiation.

A dataset is provided for each GCM climate model scenarios:

1) TClimate + TScenario-CGCM1 - historical climate (1895 - 1993) + Canadian Climate Center (see above) predicted future values (1994 - 2100).

Canadian Climate Center -- Model Name: CCCma -CGCM1; Experiment: GHG+A 1; 1% per year compounded increase in equivalent CO2 plus IS92A sulphate aerosols; Ensemble 1.1994-2100. Release: r4.

2) TClimate + TScenario-HadCM2 - historical climate (1895 - 1993) + UKMO/Hadley predicted future values (1994 - 2099)

UKMO/Hadley -- Model Name: HadCM2; Experiment: HadCM2GSa1; 1% per year compounded increase in equivalent CO2 plus IS92A sulphate aerosols; Ensemble 1. 1994 - 2099. Release: r3.

Data provided by the Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) at the National Center for Atmospheric Research (NCAR) are gridded monthly time series climate data for the Conterminous United States at 0.5 x 0.5 degree spatial resolution. Visit the VEMAP2 website for complete information about the VEMAP2 project and datasets.

The VEMAP2 Collection contains the following dataset groups.

1) TClimate - monthly historical climate dataset from 1895 to 1993. Release: r3.

2) TScenario - monthly climate data of possible future values based on different model scenarios.

3) TClimate + TScenario - annual historical climate data + possible future values based on the above different model scenarios.

4) TResults - annual biogeography/biogeochemical model estimates of ecosystem response from 1895 to 2100.

Please see the individual dataset group DIFs, for more detailed information.

Uzbekistan UZ: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 8.730 % in 2015. This records an increase from the previous number of 6.830 % for 2014. Uzbekistan UZ: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 7.125 % from Dec 2001 (Median) to 2015, with 8 observations. The data reached an all-time high of 8.730 % in 2015 and a record low of 5.830 % in 2001. Uzbekistan UZ: Tariff Rate: Applied: Weighted Mean: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uzbekistan – Table UZ.World Bank.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

United Kingdom UK: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 1.960 % in 2016. This records an increase from the previous number of 1.890 % for 2015. United Kingdom UK: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 2.270 % from Dec 1988 (Median) to 2016, with 29 observations. The data reached an all-time high of 6.280 % in 1995 and a record low of 1.310 % in 2012. United Kingdom UK: Tariff Rate: Applied: Weighted Mean: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

The benchmark interest rate in China was last recorded at 3.10 percent. This dataset provides the latest reported value for - China Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Consumer Price Index in the United States increased 0.20 percent in February of 2025 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.