Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dent County, MO
Series ID MHICILBMO29065A052NCEN
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 15505
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17444
1994-01-01 .
1995-01-01 19294
1996-01-01 .
1997-01-01 21506
1998-01-01 22882
1999-01-01 24936
2000-01-01 25649
2001-01-01 25145
2002-01-01 25321
2003-01-01 26103
2004-01-01 26967
2005-01-01 26896
2006-01-01 29079
2007-01-01 29665
2008-01-01 31649
2009-01-01 28669
2010-01-01 31572
2011-01-01 31356
2012-01-01 30367
2013-01-01 31688
2014-01-01 31191
2015-01-01 33370
2016-01-01 35267
2017-01-01 31874
2018-01-01 35795
2019-01-01 42544
2020-01-01 37491
2021-01-01 40389
2022-01-01 48514
2023-01-01 43435

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