Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Montana

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Montana
Series ID MHICILBMT30000A052NCEN
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 11:51 AM 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 22137
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25200
1994-01-01 .
1995-01-01 26456
1996-01-01 27013
1997-01-01 28138
1998-01-01 29634
1999-01-01 30777
2000-01-01 31517
2001-01-01 31692
2002-01-01 32345
2003-01-01 32996
2004-01-01 34067
2005-01-01 37623
2006-01-01 39637
2007-01-01 42078
2008-01-01 42796
2009-01-01 41282
2010-01-01 41341
2011-01-01 43041
2012-01-01 44048
2013-01-01 45853
2014-01-01 45512
2015-01-01 48370
2016-01-01 49243
2017-01-01 51987
2018-01-01 54156
2019-01-01 56099
2020-01-01 55697
2021-01-01 61990
2022-01-01 66496
2023-01-01 69537
2024-01-01 73980

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