The yield on 10 Year TIPS Yield rose to 1.81% on September 26, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.01 points and is 0.21 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for the United States 10 Year TIPS Yield.

The yield on Taiwan 10Y Bond Yield held steady at 1.37% on September 25, 2025. Over the past month, the yield has fallen by 0.05 points and is 0.14 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Taiwan 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on September of 2025.

The yield on India 10Y Bond Yield rose to 6.50% on September 26, 2025, marking a 0.01 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.07 points and is 0.26 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. India 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on September of 2025.

The yield on France 10Y Bond Yield eased to 3.57% on September 26, 2025, marking a 0.04 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.04 points and is 0.64 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. France 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on September of 2025.

Index Time Series for ProShares Ultra 7-10 Year Treasury. The frequency of the observation is daily. Moving average series are also typically included. The fund invests in financial instruments that ProShare Advisors believes, in combination, should produce daily returns consistent with the Daily Target. The index is designed to measure the performance of U.S. dollar denominated sovereign debt publicly issued by the U.S. government. The fund is non-diversified.

Ten-year comparison (2004-2013) of taxpayer income showing an analysis of the number of filers and the Adjusted Gross Income.

The yield on Mexico 10Y Bond Yield rose to 8.55% on September 26, 2025, marking a 0.03 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.31 points and is 0.74 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Mexico 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on September of 2025.

The yield on Israel 10Y Bond Yield eased to 4.19% on September 25, 2025, marking a 0.02 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.05 points, though it remains 0.66 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Israel 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on September of 2025.

A table that shows the historical breakdown of the Debt Held by the Public, Intragovernmental Holdings and the Total Public Debt Outstanding.

Data used for the Meta-Analysis of 46 Career Pathways Impact and data from four large nationally representative longitudinal surveys, as well as licensed data on occupational transitions from online career profiles, to examine workers’ career paths and wages for the Career Trajectories and Occupational Transitions Study.

This data release contains eight datasets that represent the entirety of the data collected for a study that examined breeding-bird densities in native mixed-grass prairie from 2003 to 2012 at and adjacent to wind facilities in North Dakota and South Dakota, USA. Data were collected to determine breeding-bird density per 100 hectares (ha) by distance bands from turbines and by excluding habitat that may not be considered suitable as breeding habitat for particular bird species. A subset of the data that included only one year prior to turbine construction and several years post-construction and that lent itself to a before-after-control-impact (BACI) assessment was published as its own data release and paper in 2016 in Conservation Biology by authors J. Shaffer and D. Buhl. The all-inclusive data release described hereafter is of the same basic format but includes all years and all study sites (also referred to as study plots), even those that did not lend themselves to a BACI assessment. The data release contains eight datasets with discrete topics of information, namely on bird occurrence; years of study organized by study site and treatment (that is, impact—indicating post-turbine construction) or control status and pre- or post-treatment status; overall study plot area; plot area by habitat-exclusion areas and by distance bands from turbines; turbine locations; vegetation structural data; locations of survey grid points; and bird codes and associated English common names and scientific names for the list of bird species observed during the study. The ‘bird occurrence’ dataset includes bird species identification, sex, mating-pair status, and geographic locations of individual birds, which were obtained to determine locations of individual birds from nearest turbine location and to ultimately determine bird density per 100 ha. The ‘pre post years’ dataset indicates the years that individual study sites (also known as study plots) within study areas were surveyed, whether the study site was a control or treatment site (thus indicating whether the site was never expected to experience turbine construction or whether the site was expected to experience turbine construction), and whether the study site was considered a pre-treatment or post-treatment year (thus indicating for treatment sites whether the site did not have or did have turbines that particular year). The ‘overall plot area’ dataset provides the overall areal extent of each study plot within which bird and vegetation data were obtained and to aid in determining bird density per 100 ha. The ‘plot area by distance band habitat’ dataset represents a refinement of plot area by categorizing area within up to four habitat-exclusion variables and by four distance bands in concurrent rings from turbines (that is, 0–100 meters [m], 100–200 m, 200–300 m, and greater than 300 m from turbines); these data allow one to calculate bird density per 100 ha by distance band and with exclusion of habitat in which the bird species would not be expected to be occupying. The ‘turbine location’ dataset indicates geographic location of individual turbines, which was obtained in order to determine distance from individual bird locations to nearest turbine location. The ‘vegetation’ dataset contains measurements that characterize average vegetation structural measurements and life form and was collected to determine if there were differences in vegetation structure between control and treatment sites and pre-treatment and post-treatment years. The ‘study survey grid point’ contains geographic location of individual grid points by study site, which indicates the exact location of each study site. The ‘bird codes and names’ dataset indicates the four-letter bird codes and the English common and scientific names that they represent and also provides a list of bird species observed during the study.

These scorecards show progress against key performance indicators for the Climate Change, Economy and Health and Wellbeing 10-Year Strategies. For further information and to read the strategies in full please visit our 10-Year Strategies webpage.

Data are derived from 2010-2014 (6-10 years) aerial detection surveys for tree defoliation and mortality from the USFS Forest Health Assessment and Applied Sciences Team (FHAAST) National Forest Pest Conditions Database. Polygons are created by aerial sketch mapping, and coded for defoliation and mortality, in addition to other damage codes. Defoliation and mortality layers were created from the polygon data and the attribute codes. The layers were merged to compensate for difficulties in identifying defoliation separately from mortality in hardwoods vs. conifer forests. Areas that were defoliated during three of the years recorded in the five-year dataset are thought to have significant impacts and likely mortality, so these polygons were added to the mortality layer. The layer includes areas with mortality classed as very light .

Government bond yields, 10 years' maturity - annual data

These scorecards show progress against key performance indicators for the Climate Change, Economy and Health and Wellbeing 10-Year Strategies. For further information and to read the strategies in full please visit our 10-Year Strategies webpage.

The American Community Survey (ACS) is a nationwide survey designed to provide communities a fresh look at how they are changing. The ACS replaced the decennial census long form in 2010 and thereafter by collecting long form type information throughout the decade rather than only once every 10 years. Questionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself. The American Community Survey produces demographic, social, housing and economic estimates in the form of 1 and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The data profiles provide key estimates for each of the topic areas covered by the ACS for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Although the ACS produces population, demographic and housing unit estimates,it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns, and estimates of housing units for states and counties. For 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units.

The yield on Spain 10Y Bond Yield eased to 3.31% on September 26, 2025, marking a 0.03 percentage point decrease from the previous session. Over the past month, the yield has fallen by 0.02 points, though it remains 0.38 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Spain 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on September of 2025.

Time series data for the statistic Population, ages 10-16, total and country Mauritius. Indicator Definition:Population, ages 10-16, total is the total population age 10-16.The indicator "Population, ages 10-16, total" stands at 133.34 Thousand as of 12/31/2015, the lowest value at least since 12/31/1991, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -1.18 percent compared to the value the year prior.The 1 year change in percent is -1.18.The 3 year change in percent is -4.02.The 5 year change in percent is -6.69.The 10 year change in percent is -9.57.The Serie's long term average value is 143.67 Thousand. It's latest available value, on 12/31/2015, is 7.19 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2015, to it's latest available value, on 12/31/2015, is +0.0%.The Serie's change in percent from it's maximum value, on 12/31/1991, to it's latest available value, on 12/31/2015, is -13.24%.

Tibet-Obs is a long-term, regional-scale SMST observatory in the TP that has been established 10 years ago and includes three SMST monitoring networks, i.e. Maqu, Naqu, and Ngari (including Ali and Shiquanhe), located in the cold humid area covered by grassland, the cold semiarid area dominated by tundra, and the cold arid area dominated by desert, respectively. This datasets presents a long-term (~ 10 years) SMST profile dataset collected from the Tibet-Obs, which includes the original in situ measurements at a 15 min interval collected between 2008 and 2019 from all the three networks and the spatially upscaled data for the Maqu and Shiquanhe networks.

Time series data for the statistic Trade_Balance_Brunei_Darussalam_with_Guatemala. Indicator Definition:Goods, Value of Trade Balance, US DollarsThe indicator "Goods, Value of Trade Balance, US Dollars" stands at -0.018 Thousand as of 10/31/2022, the highest value since 5/31/2015. Regarding the One-Year-Change of the series, the current value constitutes an increase of 88.39 percent compared to the value the year prior.The 1 year change in percent is 88.39.The 3 year change in percent is 99.85.The 5 year change in percent is 98.58.The 10 year change in percent is 99.28.The Serie's long term average value is -1.86 Thousand. It's latest available value, on 10/31/2022, is 99.03 percent higher, compared to it's long term average value.The Serie's change from it's minimum value, on 1/31/2020, to it's latest available value, on 10/31/2022, is +24.03 Thousand.The Serie's change from it's maximum value, on 4/30/2015, to it's latest available value, on 10/31/2022, is -0.005 Thousand.