Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chouteau County, MT
Series ID MHICILBMT30015A052NCEN
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 1:54 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 25256
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26035
1994-01-01 .
1995-01-01 25837
1996-01-01 .
1997-01-01 26800
1998-01-01 27066
1999-01-01 27208
2000-01-01 27797
2001-01-01 27332
2002-01-01 26167
2003-01-01 26925
2004-01-01 29272
2005-01-01 29464
2006-01-01 31796
2007-01-01 33952
2008-01-01 36598
2009-01-01 34925
2010-01-01 35004
2011-01-01 34466
2012-01-01 36205
2013-01-01 37435
2014-01-01 37134
2015-01-01 36373
2016-01-01 36373
2017-01-01 39671
2018-01-01 40111
2019-01-01 42589
2020-01-01 45574
2021-01-01 45076
2022-01-01 45599

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