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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Meagher County, MT
Series ID MHICIUBMT30059A052NCEN
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 19096
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22286
1994-01-01 .
1995-01-01 23811
1996-01-01 .
1997-01-01 25587
1998-01-01 25199
1999-01-01 27763
2000-01-01 30801
2001-01-01 29534
2002-01-01 27902
2003-01-01 28144
2004-01-01 29553
2005-01-01 31818
2006-01-01 33038
2007-01-01 36386
2008-01-01 33256
2009-01-01 35640
2010-01-01 31601
2011-01-01 38817
2012-01-01 35775
2013-01-01 39031
2014-01-01 40489
2015-01-01 44998
2016-01-01 43034
2017-01-01 47470
2018-01-01 49509
2019-01-01 48944
2020-01-01 50554
2021-01-01 50700
2022-01-01 59688
2023-01-01 62296
2024-01-01 67220

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