Statistics from the Samoa Bureau of Statistics.

Protected Areas 2007 - 2017
Rainfall at Selected Stations (mm), 2007 - 2017
Samoa Annual Rainfall Averages 2007 – 2017 (mm)

The latest National Statistics on forestry produced by the Forestry Commission were released on 28 September 2017 according to the arrangements approved by the UK Statistics Authority.

Detailed statistics are published in the web publication Forestry Statistics 2017, with an extract in Forestry Facts & Figures 2017. They include UK statistics on woodland area, planting, timber, trade, climate change, environment, recreation, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland.

This dataset covers statistics on environmental aspects of woodlands.

Explore Environmental SDG Statistics and Trends UNEP is custodian agency for 25 Sustainable Goals Indicators, of these 10 are tier I and tier II and where data is reported to the Secretary General Global database. Currently UNEP reports data for the following tier I and tier II indicators: 6.3.2 Proportion of bodies of water with good ambient water quality 6.5.1 Degree of integrated water resources management implementation (0-100) 6.6.1 Change in the extent of water-related ecosystems over time 8.4.2 Domestic material consumption (DMC) and DMC per capita, per GDP 12.1.1 Number of countries with sustainable consumption and production (SCP) national action plans or SCP mainstreamed as a priority or target into national policies 12.2.2 Domestic material consumption (DMC) and DMC per capita, per GDP 12.4.1 Number of Parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement 12.c.1 Amount of fossil-fuel subsidies per unit of GDP (production and consumption). 14.5.1 Coverage of protected areas in relation to marine areas 15.1.2 Proportion of important sites for terrestrial and freshwater biodiversity that are covered by protected areas, by ecosystem type 15.4.1 Coverage by protected areas of important sites for mountain biodiversity SDG Global reporting: We also coordinate our contribution of data and storylines on the SDG indicators presented in the SDG global reports. The yearly report contains Sustainable Development Goals Report and the Statistical Annex report. Click on each year to access report. 2020 2019 2018 2017 2016 SDG Global Database: UNSD SDG Global Database

The Woodland Carbon Code is a voluntary standard, initiated in July 2011, for woodland creation projects that make claims about the carbon they sequester (take out of the atmosphere).

Woodland Carbon Code statistics are used to monitor the uptake of this new voluntary standard, and are published quarterly since January 2013. Attribution statement:

The latest National Statistics on Woodland Area, Planting & Publicly Funded Restocking produced by the Forestry Commission were released on 15 June 2017 according to the arrangements approved by the UK Statistics Authority.

The First Release contains provisional statistics for the year to March 2017 on UK woodland area, certified woodland area and areas of new planting and restocking. Attribution statement:

An excel file where each row is a sample station and columns provide station descriptors, number and density of Dreissena veligers in the zooplankton samples, substrate type, and water quality values, A second sheet in the excel file provides the data dictionary. This dataset is associated with the following publication: Trebitz, A., C. Hatzenbuhler, J. Hoffman, C. Meredith, G. Peterson, E. Pilgrim, J. Barge, A. Cotter, and M. Wick. Dreissena veligers in western Lake Superior -- inference from new low-density detection. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(3): 691-699, (2019).

The latest National Statistics on forestry produced by the Forestry Commission were released on 28 September 2017 according to the arrangements approved by the UK Statistics Authority.

Detailed statistics are published in the web publication Forestry Statistics 2017, with an extract in Forestry Facts & Figures 2017. They include UK statistics on woodland area, planting, timber, trade, climate change, environment, recreation, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland.

This dataset covers statistics on woodland areas and planting.

These data contain wind speed (m/sec), wind gust (m/sec) and wind direction measurements collected at 1 min intervals with HOBO microstations supporting Davis® S-WCF-M003 wind speed and direction sensors (Onset Computer Corporation, Bourne, Massachusetts, USA). Microstations and wind sensors were placed at 923 m and 1328 m elevations in the Kahuku Unit of Hawaii Volcanoes National Park to collect wind data in parallel with Passive Environmental Samplers for Ceratocystis lukuohia, C. huliohia, and Austropuccina psidii.

This table presents economic data for the environmental goods and services sector by activity. It contains data on labour volume, output, gross value added and export of the environmental goods and services sector. Output, gross value added and export are measured in basic prices and labour volume is measured in full time equivalents (fte). The environmental activities are assigned to an environmental domain (environmental protection and/or management of natural resources).

The economic data are presented in the following quantities: -Labour volume, 1000 fte -Output at basic prices, mln Euro -Gross value added at basic prices, mln Euro -Export at basic prices, mln Euro

The environmental goods and services sector consists of companies and institutions that are involved in activities with respect to measuring, preventing, limiting, minimalizing or correcting environmental damage to water, air and soil as well as problems related to waste, noise and ecosystems (OECD, 1999; Eurostat 2009). This definition includes 'cleaner technologies 'and 'cleaner goods and services' which reduce environmental risk and minimize the use of natural resources and pollution. The definition of the environmental goods and services sector is determined on European level and it is used by EU-countries accordingly.

The environmental goods and services sector is part of de Dutch system of environmental accounts, which brings together economic and environmental information in a common framework. The Dutch environmental accounts are compiled following the general concepts, definitions and classifications as described in SEEA 2012 and the 2008 SNA. As it is in line with de definitions and classifications of the national accounts system, there exists a small difference between environmental accounts and environmental statistics. More information on the methodology can be found elsewhere on the website of CBS.

Data available from: 2001

Status of the figures: Provisional figures.

Changes as of 4 July 2023: Year 2021 has been added. The figures about earlier years have been adjusted following a change in the business population belonging to the environmental goods and services sector.

Changes as of 8 July 2022: Year 2020 has been added. The figures about earlier years have been adjusted following a change in the business population belonging to the environmental goods and services sector.

Changes as of 2 April 2021: Year 2017, 2018 and 2019 has been added. The figures about earlier years have been adjusted following a change in the business population belonging to the environmental goods and services sector.

Changes as of 16 November 2018: Year 2016 has been added. The figures about earlier years have been adjusted following a change in the business population belonging to the environmental goods and services sector. Environmental activities 'Second-hand stores (no antiques)' and 'Wholesale of waste and scrap' are outside of the scope for the environmental goods and services sector and are deleted.

Changes as of 5 October 2017: Provisional figures for 2015 have been added. The time series has been updated according to the most recent estimates. A new variable, Export basic prices, has been added. The underlying coding of classifications used in this table has been adjusted. It is now in line with the standard encoding defined by CBS.

Changes as of 25 August 2016: Year 2014 has been added. The figures about earlier years have been adjusted following a change in the business population belonging to the environmental goods and services sector.

When will new figures be published? New provisional figures are published annually in March.

A Nursery Survey was set up in 2007 to assess sales of improved nursery stock. The survey covers sales of Sitka spruce and Scots pine. Attribution statement:

The Chicago Building Energy Use Benchmarking Ordinance calls on existing municipal, commercial, and residential buildings larger than 50,000 square feet to track whole-building energy use, report to the City annually, and verify data accuracy every three years. The law, which phases in from 2014-2017, covers less than 1% of Chicago’s buildings, which account for approximately 20% of total energy used by all buildings. For more details, including ordinance text, rules and regulations, and timing, please visit www.CityofChicago.org/EnergyBenchmarking

The ordinance authorizes the City to share property-specific information with the public, beginning with the second year in which a building is required to comply.

This view shows data for a single year.

Data sets and individual XCD results used to develop the field-based benchmarks are available at the U.S. EPA Environmental Dataset Gateway (https://doi.org/10.23719/1371707) (Cormier, 2017). Data are contained in three zip files. The folder “Biological.zip” contains occurrences of benthic invertebrate genera in 24 state data sets. This paper uses only the data from West Virginia ecoregions 69 and 70. The folder “Environmental.zip” contains environmental data sorted into 24 data sets. The folder “model.zip” contains the calculated XC95 values, probability of observation plots as generalized additive models, and the cumulative frequency distribution for benthic invertebrate genera from WV69 and 70 plus data sets used to develop other models not discussed in this paper. A spreadsheet for calculating XC95 values and XCD05 is described in Cormier et al. (2018c). The tools, data sets, example calculations, and example outputs are available online at https://wiley.figshare.com/ieam and https://github.com/smcormier/Biological-Extirpation-Analysis-Tools-BEAT/releases/tag/v.1.0.2. Alternatively, calculation of XC95, GAM plots, XCD05 can be calculated using batch R-code. Similarly, the R-code and data sets are available on GitHub (https://github.com/leppott/XC95).

The latest National Statistics on forestry produced by the Forestry Commission were released on 28 September 2017 according to the arrangements approved by the UK Statistics Authority.

Detailed statistics are published in the web publication Forestry Statistics 2017, with an extract in Forestry Facts & Figures 2017. They include UK statistics on woodland area, planting, timber, trade, climate change, environment, recreation, employment and finance & prices as well as some statistics on international forestry. Where possible, figures are also provided for England, Wales, Scotland and Northern Ireland.

This dataset covers statistics on recreation, including visits to woodlands.

UK roundwood deliveries for 1994 to 2017 (provisional). The data cover softwood deliveries and hardwood deliveries.

The dataset is released twice a year: Provisional figures are available in May to support the National Statistics release UK Wood Production and Trade; Final figures are available in September to support the National Statistics releases Forestry Statistics and Forestry Facts & Figures. Attribution statement:

Budget Data for Ministry of Social Security, National Solidarity, and Environment and Sustainable Development (Environment and Sustainable Development Division) Sub_Head as General, Environmental Protection and Conservation, Monitoring, Uplifting and the Embellishment of the Environment, Sustainable Development and Climate Change, Solid & Hazardous Waste and Beach Management, National Disaster Risk Reduction

Metadata:Data Provider: Oklahoma MesonetData Link: Daily SummariesLast Update Time: October 10, 2023Start Date: January 1, 2017End Date: December 31, 2017Update Frequency: DailyAdmin Unit: zipcodeMeasurement Criteria:Total Daily Solar Radiation: Calculated if 99% of the observations for the site and day are available.Maximum Wind Gust, Maximum Heat Index, Minimum Wind Chill: Calculated if at least 1 observation is available for the day.Wind Direction: Available when wind speed is greater than 2.5 mph.Other Variables: Require at least 90% of the observations to be computed.Unavailable Data: Values between +/-990-999 indicate data are not available.Variables in Data Table:CSV Column NameDescriptionStateNameState NameStateFIPSState FIPS CodeZipCodeZip CodeCentroid_LatCentroid LatitudeCentroid_LonCentroid LongitudeDateDateMEAN_TR05Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_TR25Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_TR60Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_R05BDNumber of errant 30-minute calibrated delta-t at 5 cm observations.MEAN_R25BDNumber of errant 30-minute calibrated delta-t at 25 cm observations.MEAN_R60BDNumber of errant 30-minute calibrated delta-t at 60 cm observations.MEAN_TAVGAverage of all 5-minute averaged temperature observations each day.MEAN_HAVGAverage of all 5-minute averaged humidity observations each day.MEAN_DAVGAverage of all 5-minute averaged dewpoint temperatures each day. Dewpoint temperature is derived from 1.5 m air temperature and the corresponding humidity value.MEAN_VDEFAverage of all 5-minute averaged vapor deficit estimates each day.MEAN_PAVGAverage of all 5-minute averaged station air pressure observations each day.MEAN_WSPDAverage of all 5-minute wind speed observations each day.MEAN_ATOTDaily accumulation of solar radiation each day.MEAN_BAVGAverage of all 15-minute averaged soil temperature observations each day. This variable is only available prior to December 1, 2013.MEAN_S5AVAverage of all 15-minute averaged soil temperature observations each day.Description:The Oklahoma Mesonet dataset provides detailed daily environmental measurements across Oklahoma. It includes various parameters such as temperature, humidity, dewpoint, vapor deficit, air pressure, wind speed, solar radiation, and soil temperature. Each parameter is averaged over specific time intervals (e.g., 5-minute, 15-minute) and provides a comprehensive overview of daily weather and environmental conditions.The Mesonet stations require a minimum percentage of observations for the day to be included in daily calculations. For instance, total daily solar radiation is calculated only if 99% of the observations for the site and day are available. Other parameters, such as maximum wind gust, maximum heat index, and minimum wind chill, require at least one observation to be recorded for the day. Wind direction data are only recorded when wind speeds exceed 2.5 mph, and most other variables require at least 90% of the observations to be computed.This dataset is essential for researchers, policymakers, and agricultural professionals, providing critical data to analyze environmental trends, assess climate patterns, and make informed decisions related to agriculture and environmental management.

This is the source data for 'Streamwatch Indications for New Guidelines report, SING 2017'.The report was written using data collected by 32 Streamwatch groups across 63 monitoring sites in the Greater Sydney region. This data was derived from measurements taken between December 1990 and June 2016. In all, 32,125 recorded parameter values were utilised in the analysis.The Streamwatch data archive is much larger than the dataset used here, however for purposes of volunteer utility, sub-catchment relevant scale, contemporary relevance and statistical strength, only site records for groups active as of June 2016 and having reasonable duration time series, were used for the report. A similar approach utilising a much bigger dataset is possible if all records from 'Streamwatch historical survey data December1990-June2016' were included, however data quality is more uncertain.

Uzbekistan UZ: CPIA: Policy and Institutions For Environmental Sustainability Rating: 1=Low To 6=High data was reported at 3.500 NA in 2017. This stayed constant from the previous number of 3.500 NA for 2016. Uzbekistan UZ: CPIA: Policy and Institutions For Environmental Sustainability Rating: 1=Low To 6=High data is updated yearly, averaging 3.500 NA from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 3.500 NA in 2017 and a record low of 3.500 NA in 2017. Uzbekistan UZ: CPIA: Policy and Institutions For Environmental Sustainability Rating: 1=Low To 6=High 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: Policy and Institutions. Policy and institutions for environmental sustainability assess the extent to which environmental policies foster the protection and sustainable use of natural resources and the management of pollution.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;