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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mineral County, MT
Series ID MHICIUBMT30061A052NCEN
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 7:03 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 23765
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26404
1994-01-01 .
1995-01-01 28999
1996-01-01 .
1997-01-01 29243
1998-01-01 28943
1999-01-01 28731
2000-01-01 30452
2001-01-01 29867
2002-01-01 31297
2003-01-01 31936
2004-01-01 33817
2005-01-01 34437
2006-01-01 36092
2007-01-01 37660
2008-01-01 38447
2009-01-01 37683
2010-01-01 36456
2011-01-01 36112
2012-01-01 37148
2013-01-01 39745
2014-01-01 40379
2015-01-01 43690
2016-01-01 43849
2017-01-01 47006
2018-01-01 46861
2019-01-01 48821
2020-01-01 62045
2021-01-01 55896
2022-01-01 62361
2023-01-01 66076
2024-01-01 68334

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