Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Missoula County, MT
Series ID MHICILBMT30063A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 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 22484
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25906
1994-01-01 .
1995-01-01 28313
1996-01-01 .
1997-01-01 30446
1998-01-01 32084
1999-01-01 32072
2000-01-01 32977
2001-01-01 32732
2002-01-01 33440
2003-01-01 34619
2004-01-01 34983
2005-01-01 39077
2006-01-01 36467
2007-01-01 39703
2008-01-01 40318
2009-01-01 37375
2010-01-01 41207
2011-01-01 39321
2012-01-01 41603
2013-01-01 42721
2014-01-01 41213
2015-01-01 41242
2016-01-01 44163
2017-01-01 49766
2018-01-01 54096
2019-01-01 54555
2020-01-01 57597
2021-01-01 62186
2022-01-01 63713
2023-01-01 69021

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