Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Perry County, MO
Series ID MHICIUBMO29157A052NCEN
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 2:31 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 26055
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30452
1994-01-01 .
1995-01-01 34007
1996-01-01 .
1997-01-01 36611
1998-01-01 38268
1999-01-01 38415
2000-01-01 40798
2001-01-01 39601
2002-01-01 39893
2003-01-01 40668
2004-01-01 41727
2005-01-01 44136
2006-01-01 45714
2007-01-01 48059
2008-01-01 45846
2009-01-01 42606
2010-01-01 46832
2011-01-01 47616
2012-01-01 50079
2013-01-01 56552
2014-01-01 54767
2015-01-01 51528
2016-01-01 56018
2017-01-01 57326
2018-01-01 59486
2019-01-01 63141
2020-01-01 63281
2021-01-01 63172
2022-01-01 69277
2023-01-01 71026

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