The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).The TIGER/Line Shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System. The MAF/TIGER System represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line Shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGERweb REST Services allows users to integrate the Census Bureau's Topologically Integrated Geographic Encoding and Referencing database (TIGER) data into their own GIS or custom web-based applications.For a more detailed description of the areas listed or terms below, refer to TIGER/Line documentation or the Geographic Areas Reference Manual, (GARM).Metadata

Graph and download economic data for All Employees: Government in Alabama (ALGOVTN) from Jan 1990 to May 2025 about AL, government, employment, and USA.

Prior to 2003, the State of Alabama had no formal methodology to forecast prison populations, including a simulation model or statistical time-series and forecasting methods. Instead, the Alabama Department of Corrections relied on percent growth models, using the existing prison population to forecast future statewide prison populations. As Alabama moved toward a structured sentencing system, more precision was needed to investigate the impact statewide sentencing reform would have on the prison population. Adding to the need for more precise forecast methods, the Alabama Sentencing Commission intended to incorporate Virginia worksheet-style sentencing guidelines into its sentencing reform efforts. The Virginia sentencing guidelines uses offender and offense factors identified with statistical models and weights to guide sentence recommendations. Alabama require an analytical tool to guide the Commission during development of such a complicated sentencing system. To shepherd this process, the simulation model development project was undertaken which consisted of three phases;The development of a baseline projection of current practices for later comparison with projections made following implementation of the sentencing standards;Incorporating the initial sentencing standards into the simulation model; and Integrating disparate modules together into a user-friendly model interface.

About this dataset

Context

The dataset tabulates the Alabama household income by age. The dataset can be utilized to understand the age-based income distribution of Alabama income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Alabama annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Alabama household incomes: Comparative analysis across 16 income brackets

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Alabama income distribution by age. You can refer the same here

Financial overview and grant giving statistics of Alabama Water Watch Association

Financial overview and grant giving statistics of Alabama Best Practice Center

Graph and download economic data for Employed Persons in Alabama (LASST010000000000005) from Jan 1976 to May 2025 about AL, household survey, employment, persons, and USA.

In 2023, about **** percent of Alabama residents were Black or African American. A further **** percent of the population were white, and *** percent of residents were of two or more races in that year.

Graph and download economic data for All Employees: Construction in Alabama (ALCONS) from Jan 1990 to May 2025 about AL, construction, employment, and USA.

Graph and download economic data for Labor Force Participation Rate for Alabama (LBSSA01) from Jan 1976 to Apr 2025 about participation, AL, labor force, labor, rate, and USA.

About this dataset

Context

The dataset tabulates the Alabama population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Alabama.

Content

The dataset constitues the following two datasets across these two themes

• Alabama Population Breakdown by Gender
• Alabama Population Breakdown by Gender and Age

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Graph and download economic data for All Employees: Health Care: Hospitals in Alabama (SMU01000006562200001A) from 1990 to 2024 about hospitals, health, AL, employment, and USA.

Streamflow data and statistics are vitally important for proper protection and management of both the water quality and water quantity of Alabama streams. Such data and statistics are available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological Survey, in cooperation with numerous Alabama state agencies and organizations, developed regional regression equations for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations in Alabama that are not substantially affected by tides, regulation, diversions, or other anthropogenic influences. This data release comprises the geographic information systems (GIS) layers and tabular data used to create the new low-flow and mean annual flow regression equations and implement them for the U.S. Geological Survey StreamStats application (https://streamstats.usgs.gov).

Graph and download economic data for Unemployed Persons in Alabama (LASST010000000000004) from Jan 1976 to May 2025 about AL, household survey, unemployment, persons, and USA.

Financial overview and grant giving statistics of Alabama Game Changers

Financial overview and grant giving statistics of Alabama State Association for Health Physical Ed Recreation

Financial overview and grant giving statistics of Alabama Line Location Center Inc

In 2023, the real gross domestic product of Alabama amounted to about 241.75 billion U.S. dollars. This is an increase from the previous year, when the state's real GDP amounted to 235.81 billion U.S. dollars.

Offender Based Transaction Statistics (OBTS) studies are designed to collect information by tracking adult offenders from the point of entry into the criminal justice system (typically by arrest) through final disposition, regardless of whether the offender is convicted or acquitted. Information is provided on arrest, police action, prosecutor action, level of charges, charges filed by the prosecutor, type of counsel, pretrial status, type of trial, sentence type, and sentence length. This allows researchers to examine how the criminal justice system processes offenders, to measure the changing volume of offenders moving through the different segments of the criminal justice system, to calculate processing time intervals between major decision-making events, and to assess the changing structure of the offender population.

Financial overview and grant giving statistics of Alabama Archives and History Foundation