Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Deer Lodge County, MT
Series ID MHICILBMT30023A052NCEN
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 3:13 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 17063
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20873
1994-01-01 .
1995-01-01 22810
1996-01-01 .
1997-01-01 23650
1998-01-01 24797
1999-01-01 25250
2000-01-01 25780
2001-01-01 25469
2002-01-01 25929
2003-01-01 26777
2004-01-01 28297
2005-01-01 28050
2006-01-01 30410
2007-01-01 29055
2008-01-01 30895
2009-01-01 29665
2010-01-01 32881
2011-01-01 31130
2012-01-01 32763
2013-01-01 34246
2014-01-01 34414
2015-01-01 34144
2016-01-01 34741
2017-01-01 40870
2018-01-01 41845
2019-01-01 38469
2020-01-01 40081
2021-01-01 41950
2022-01-01 46757
2023-01-01 50099

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