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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Treasure County, MT
Series ID MHICILBMT30103A052NCEN
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 17727
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21425
1994-01-01 .
1995-01-01 20496
1996-01-01 .
1997-01-01 20744
1998-01-01 21529
1999-01-01 26715
2000-01-01 29062
2001-01-01 28452
2002-01-01 28633
2003-01-01 28740
2004-01-01 33025
2005-01-01 33679
2006-01-01 31974
2007-01-01 32477
2008-01-01 34285
2009-01-01 34962
2010-01-01 36067
2011-01-01 38568
2012-01-01 38955
2013-01-01 43412
2014-01-01 42202
2015-01-01 44635
2016-01-01 45259
2017-01-01 44852
2018-01-01 45237
2019-01-01 45615
2020-01-01 47947
2021-01-01 51247
2022-01-01 53875
2023-01-01 53659
2024-01-01 52399

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