Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Liberty County, MT
Series ID MHICILBMT30051A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:12 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 21122
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23452
1994-01-01 .
1995-01-01 25134
1996-01-01 .
1997-01-01 23797
1998-01-01 22639
1999-01-01 25473
2000-01-01 27205
2001-01-01 26156
2002-01-01 25795
2003-01-01 26366
2004-01-01 27844
2005-01-01 28860
2006-01-01 30128
2007-01-01 32928
2008-01-01 32259
2009-01-01 32902
2010-01-01 28791
2011-01-01 32242
2012-01-01 31982
2013-01-01 35685
2014-01-01 33852
2015-01-01 35950
2016-01-01 34345
2017-01-01 37323
2018-01-01 38242
2019-01-01 37512
2020-01-01 45490
2021-01-01 43125
2022-01-01 46936

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