Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Roosevelt County, MT

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Roosevelt County, MT
Series ID MHICILBMT30085A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2024-01-01
Last Updated 2026-02-09 7:08 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 18017
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21144
1994-01-01 .
1995-01-01 20699
1996-01-01 .
1997-01-01 20874
1998-01-01 20745
1999-01-01 22891
2000-01-01 23625
2001-01-01 23278
2002-01-01 23444
2003-01-01 24088
2004-01-01 25423
2005-01-01 24894
2006-01-01 26492
2007-01-01 26861
2008-01-01 29485
2009-01-01 27457
2010-01-01 32431
2011-01-01 30351
2012-01-01 31351
2013-01-01 31406
2014-01-01 33717
2015-01-01 35110
2016-01-01 35929
2017-01-01 38890
2018-01-01 35993
2019-01-01 35717
2020-01-01 37701
2021-01-01 42781
2022-01-01 42988
2023-01-01 45486
2024-01-01 50243

Back to Top