Credit Insecurity on US Native Lands

About this Dashboard This data dashboard maps county-level credit insecurity as ranked by the New York Federal Reserve Bank to US Native Lands. County-level insecurity rankings do not necessarily account for actual credit needs within reservation boundaries and, in many cases, may show inaccurate rankings depending on the percentage of off-reservation population contained within each […]
Visualizing Federal Spending in Indian Country

The Native Lands Advocacy Project recently published three data dashboards that focus on federal spending as it relates to tribes.
The Impact Project Maps the Effects of Federal Changes on Local Communities

The Impact Project helps equip tribes with relevant information about the real-time effects of federal policy changes on local communities.
Creating a Historic Loss Assessment, Part 3: Illegal settlements and loss of agricultural revenue

By calculating land dispossession, this report seeks to not only identify what has been taken from Native peoples but also how this theft became the original source of capital that built Colorado and the West.
Keystone Data Tools for Native Land Planning: View the webinar recordings & share your feedback

This month, the Native Lands Advocacy Project (NLAP) wrapped up our webinar series: Keystone Data Tools for Native Land Planning. These webinars introduced attendees to three foundational datasets that Native Nations & citizens can use to make informed, sovereign decisions for their futures: The USDA Census of Agriculture for American Indian Reservations The National Land […]
Creating a Historic Loss Assessment, Part 2: Loss of life and Extraction of minerals

By calculating land dispossession, this report seeks to not only identify what has been taken from Native peoples but also how this theft became the original source of capital that built Colorado and the West.
Federally-funded Projects in Indian Country

About this Dashboard This data dashboard summarizes data about federally-funded projects within tribal boundaries from the Bipartisan Infrastructure Law and the Infrastructure Reduction Act. The visualization displays funds amounts and categories of federal project for all tribes for years 2022 through 2025 (it has not been modified for eventual funding freezes resulting from the current […]
Bureau of Indian Affairs Budget by Categories

About this Dashboard This data dashboard summarizes data from the United States Secretary of Interior; it features the Bureau of Indian Affairs Yearly Highlights Reports, which show BIA spending by categories, programs and subprograms for years 2022, 2023, annualized CR (estimates) for 2024 and requested budget for 2025. We digitized these static reports in an […]
Creating a Historic Loss Assessment, Part 1: Native history and land dispossession

By calculating land dispossession, this report seeks to not only identify what has been taken from Native peoples but also how this theft became the original source of capital that built Colorado and the West.
Introducing the Historic Loss Assessment: Articulating lost lives, land, and resources for the Native Nations in your state

While much of settler colonialism’s harm to Native Nations is unquantifiable, assessments like this provide data that helps tell those Nation’s stories.
Energy & Mineral Revenue From US Native Lands (2008-2020)

About this Dashboard This data dashboard, developed by the Native Lands Advocacy Project, summarizes data from the US Department of Interior’s Office of Natural Resources Revenue (ONRR) for US Native Lands for the period of 2008 through 2020. This dashboard also has the data for all federal lands. 0 Resource Types 0 Land Class 0 Years of […]
Reservation Croplands: How Native Farmers and Ranchers Can Leverage the USDA’s Cropland Data Layer for Land Planning

In 2022, there were about 110 million acres of cropland (5.7%) on Native American reservations (including on-reservation and off-reservation trust lands). What are these croplands and land covers? How have they changed over time? Why does this data matter?