Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carter County, MO
Series ID MHICILBMO29035A052NCEN
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 11391
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14515
1994-01-01 .
1995-01-01 17489
1996-01-01 .
1997-01-01 17676
1998-01-01 18341
1999-01-01 21514
2000-01-01 22150
2001-01-01 21906
2002-01-01 22276
2003-01-01 23718
2004-01-01 25383
2005-01-01 23525
2006-01-01 24794
2007-01-01 24340
2008-01-01 24419
2009-01-01 24990
2010-01-01 25775
2011-01-01 25122
2012-01-01 26358
2013-01-01 27042
2014-01-01 29084
2015-01-01 29016
2016-01-01 29858
2017-01-01 30568
2018-01-01 30714
2019-01-01 32080
2020-01-01 32891
2021-01-01 34563
2022-01-01 37481

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