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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Treasure County, MT
Series ID MHICIUBMT30103A052NCEN
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 7:04 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 22431
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26023
1994-01-01 .
1995-01-01 26772
1996-01-01 .
1997-01-01 27878
1998-01-01 28447
1999-01-01 30926
2000-01-01 34027
2001-01-01 32948
2002-01-01 33220
2003-01-01 33352
2004-01-01 38183
2005-01-01 40308
2006-01-01 38436
2007-01-01 39910
2008-01-01 42308
2009-01-01 43106
2010-01-01 43795
2011-01-01 47106
2012-01-01 47209
2013-01-01 53152
2014-01-01 51976
2015-01-01 54723
2016-01-01 56281
2017-01-01 56012
2018-01-01 56311
2019-01-01 57893
2020-01-01 65891
2021-01-01 65303
2022-01-01 67033
2023-01-01 69461
2024-01-01 67119

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