The yield on US 30 Year Bond Yield rose to 4.76% on December 2, 2025, marking a 0.02 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.06 points and is 0.35 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. United States 30 Year Bond Yield - values, historical data, forecasts and news - updated on December of 2025.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 30-Year Constant Maturity, Quoted on an Investment Basis (DGS30) from 1977-02-15 to 2025-11-28 about 30-year, maturity, Treasury, interest rate, interest, rate, and USA.

The dataset contains several info about American citizens, including the income range, the age, the education level … It can be used for several type of tasks, including classification, data analytics, statistics ...

The yield on 30 Year TIPS Yield held steady at 2.48% on November 10, 2025. Over the past month, the yield has edged up by 0.06 points and is 0.31 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 30 Year TIPS Yield.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 30-Year Constant Maturity, Quoted on an Investment Basis, Inflation-Indexed (RIFLGFCY30XIINA) from 2010 to 2024 about TIPS, 30-year, maturity, investment, Treasury, yield, securities, interest rate, interest, real, rate, and USA.

US 30-Year Treasury Real Interest Rates yield data, US 30-Year Treasury Real Interest Rates data, recent 27 years (traceable to Apr 07,1999), the yield unit is %, latest yield value is 2.52, updated at Nov 21,2025

Graph and download economic data for Origination Fees and Discount Points for 30-Year Fixed Rate Mortgage in the United States (DISCONTINUED) (MORTPTS30US) from 1971-05-28 to 2022-11-10 about points, discount, fees, origination, 30-year, mortgage, fixed, rate, and USA.

This dataset contains elevations at every 30 seconds of latitude and longitude for the region from 23N to 51N and 130W to 60W (the contiguous United States). These data are current as of August, 1989.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Ebitda Time Series for Altice USA Inc. Altice USA, Inc., together with its subsidiaries, provides broadband communications and video services under the Optimum brand in the United States, Canada, Puerto Rico, and the Virgin Islands. It provides broadband, video, telephony, and mobile services to residential and business customers. The company's video services include delivery of broadcast stations and cable networks; over the top services; video-on-demand, high-definition channels, digital video recorder, and pay-per-view services; and video programming services. It also provides voice over Internet protocol telephone services; local, regional, and long-distance calling services; and mobile services, such as data, talk, and text. In addition, the company offers Ethernet, data transport, IP-based virtual private networks, Internet access, and telephony services; hosted telephony services, managed Wi-Fi, managed desktop and server backup, and collaboration services comprising audio and web conferencing; fiber-to-the-tower services to wireless carriers; data services, including wide area networking and dedicated data access, and advanced services comprising wireless mesh networks; and enterprise class telephone services that include traditional multi-line phone service. Further, it provides hosted private branch exchange, technical support, network solutions, security and network access and equipment for SMB customers, and international calling and toll-free numbers services. Additionally, the company offers audience-based and multiscreen advertising solutions; news programming services; and data analytics, as well as operates news channels under the News 12 Networks and i24NEWS names. Altice USA, Inc. was incorporated in 2015 and is headquartered in Long Island City, New York.

United States US: Population: Male: Ages 30-34: % of Male Population data was reported at 6.907 % in 2017. This records an increase from the previous number of 6.839 % for 2016. United States US: Population: Male: Ages 30-34: % of Male Population data is updated yearly, averaging 6.886 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 9.020 % in 1990 and a record low of 5.753 % in 1968. United States US: Population: Male: Ages 30-34: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Male population between the ages 30 to 34 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

This statistic shows the number of bags of Utz popcorn eaten within one month in the United States in 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, **** million Americans consumed * or more bags in 2020.

Graph and download economic data for 30-Year Swap Rate (DISCONTINUED) (MSWP30) from Jul 2000 to Sep 2016 about swaps, 30-year, interest rate, interest, rate, and USA.

This dataset provides two sets of gridded estimates of estimated soil organic carbon (SOC) and associated uncertainties for 0-30 cm topsoil layer in kg SOC/m2 at 250-m resolution across Mexico and the conterminous USA (CONUS). The first set of gridded SOC estimates, for the period 1991-2010, were derived using multi-source SOC field data and multiple environmental variables representative of the soil forming environment coupled with a machine learning approach (i.e., simulated annealing) and regression tree ensemble modeling for optimized SOC prediction. Predictions of gridded SOC and uncertainty based on multiple bulk density (BD) pedotransfer functions (PFTs) are also included. The second set of gridded SOC estimates, for the period 2009-2011, were derived from two fully independent validation field datasets from across both countries. Note that the same environmental variables and modeling approach used for the first set of estimates were applied to the second set to assess the models' sensitivity to multiple SOC data sources. The SOC field data for the first set of estimates are provided in this dataset and the other data sources, including the two independent validation field datasets, are referenced.

Data and description below is from the Scientific Data paper: A rasterized building footprint dataset for the United States authored by Mehdi P. Heris, Nathan Leon Foks, Kenneth J. Bagstad, Austin Troy & Zachary H. Ancona

Abstract

Microsoft released a U.S.-wide vector building dataset in 2018. Although the vector building layers provide relatively accurate geometries, their use in large-extent geospatial analysis comes at a high computational cost. We used High-Performance Computing (HPC) to develop an algorithm that calculates six summary values for each cell in a raster representation of each U.S. state, excluding Alaska and Hawaii: (1) total footprint coverage, (2) number of unique buildings intersecting each cell, (3) number of building centroids falling inside each cell, and area of the (4) average, (5) smallest, and (6) largest area of buildings that intersect each cell. These values are represented as raster layers with 30 m cell size covering the 48 conterminous states. We also identify errors in the original building dataset. We evaluate precision and recall in the data for three large U.S. urban areas. Precision is high and comparable to results reported by Microsoft while recall is high for buildings with footprints larger than 200 m2 but lower for progressively smaller buildings.

Background and Summary

Building footprints are a critical environmental descriptor. Microsoft produced a U.S.-wide vector building dataset in 20181 that was generated from aerial images available to Bing Maps using deep learning methods for object classification2. The main goal of this product has been to increase the coverage of building footprints available for OpenStreetMap. Microsoft identified building footprints in two phases; first, using semantic segmentation to identify building pixels from aerial imagery using Deep Neural Networks and second, converting building pixel blobs into polygons. The final dataset includes 125,192,184 building footprint polygon geometries in GeoJSON vector format, covering all 50 U.S. States, with data for each state distributed separately. These data have 99.3% precision and 93.5% pixel recall accuracy2. Temporal resolution of the data (i.e., years of the aerial imagery used to derive the data) are not provided by Microsoft in the metadata.

Using vector layers for large-extent (i.e., national or state-level) spatial analysis and modelling (e.g., mapping the Wildland-Urban Interface, flood and coastal hazards, or large-extent urban typology modelling) is challenging in practice. Although vector data provide accurate geometries, incorporating them in large-extent spatial analysis comes at a high computational cost. We used High Performance Computing (HPC) to develop an algorithm that calculates six summary statistics (described below) for buildings at 30-m cell size in the 48 conterminous U.S. states, to better support national-scale and multi-state modelling that requires building footprint data. To develop these six derived products from the Microsoft buildings dataset, we created an algorithm that took every single building and built a small meshgrid (a 2D array) for the bounding box of the building and calculated unique values for each cell of the meshgrid. This grid structure is aligned with National Land Cover Database (NLCD) products (projected using Albers Equal Area Conic system), enabling researchers to combine or compare our products with standard national-scale datasets such as land cover, tree canopy cover, and urban imperviousness3.

Locations, shapes, and distribution patterns of structures in urban and rural areas are the subject of many studies. Buildings represent the density of built up areas as an indicator of urban morphology or spatial structures of cities and metropolitan areas4,5. In local studies, the use of vector data types is easier6,7. However, in regional and national studies a raster dataset would be more preferable. For example in measuring the spatial structure of metropolitan areas a rasterized building layer would be more useful than the original vector datasets8.

Our output raster products are: (1) total building footprint coverage per cell (m2 of building footprint per 900 m2 cell); (2) number of buildings that intersect each cell; (3) number of building centroids falling within each cell; (4) area of the largest building intersecting each cell (m2); (5) area of the smallest building intersecting each cell (m2); and (6) average area of all buildings intersecting each cell (m2). The last three area metrics include building area that falls outside the cell but where part of the building intersects the cell (Fig. 1). These values can be used to describe the intensity and typology of the built environment.

Code

Our software is available through U.S. Geological Survey code r...

As of July 2024, the largest age group among the United States population were adults aged 30 to 34 years old. There were 11.9 million males and some 12.1 million females in this age cohort. The total population of the country was estimated to be 340.1 million Which U.S. state has the largest population? The United States is the third most populous country in the world. It is preceded by China and India, and followed by Indonesia in terms of national population. The gender distribution in the U.S. has remained consistent for many years, with the number of females narrowly outnumbering males. In terms of where the residents are located, California was the state with the largest population. The U.S. population by race and ethnicity The United States poses an ethnically diverse population. In 2023, the number of Black or African American individuals was estimated to be 45.76 million, which represented an increase of over four million since the 2010 census. The number of Asian residents has increased at a similar rate during the same time period and the Hispanic population in the U.S. has also continued to grow.

United States Interest Rate Swaps: Mth Avg: 30 Year data was reported at 3.241 % pa in Oct 2018. This records an increase from the previous number of 3.082 % pa for Sep 2018. United States Interest Rate Swaps: Mth Avg: 30 Year data is updated monthly, averaging 4.268 % pa from Jul 2000 (Median) to Oct 2018, with 220 observations. The data reached an all-time high of 7.199 % pa in Jul 2000 and a record low of 1.751 % pa in Aug 2016. United States Interest Rate Swaps: Mth Avg: 30 Year data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M014: Interest Rate: Swaps Rates.

This dataset provides information about the number of properties, residents, and average property values for US Highway 30 cross streets in Hamlet, IN.

Ebitda Time Series for USA Compression Partners LP. USA Compression Partners, LP provides natural gas compression services in the United States. The company offers compression services to oil companies and independent producers, processors, gatherers, and transporters of natural gas and crude oil. It also provides compression services for infrastructure applications, including centralized natural gas gathering systems and processing facilities, and gas lift applications in crude oil wells. In addition, the company owns and operates a fleet of equipment to offer natural gas treating services, such as carbon dioxide and hydrogen sulfide removal, as well as natural gas cooling and dehydration to natural gas producers and midstream companies. As of December 31, 2024, it has 3,862,102 horsepower in its fleet. USA Compression Partners, LP was founded in 1998 and is headquartered in Dallas, Texas.

Tick (Bids | Asks | Trades | Settle) sample data for 30 Year Bond (Globex) USA timestamped in Chicago time