Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Perry County, MO
Series ID MHICILBMO29157A052NCEN
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 21514
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25996
1994-01-01 .
1995-01-01 28004
1996-01-01 .
1997-01-01 30495
1998-01-01 32185
1999-01-01 33806
2000-01-01 35211
2001-01-01 34589
2002-01-01 34809
2003-01-01 35898
2004-01-01 36834
2005-01-01 37346
2006-01-01 39439
2007-01-01 40047
2008-01-01 38405
2009-01-01 37422
2010-01-01 39568
2011-01-01 40182
2012-01-01 44375
2013-01-01 51044
2014-01-01 46329
2015-01-01 42924
2016-01-01 47826
2017-01-01 46938
2018-01-01 48256
2019-01-01 50923
2020-01-01 47929
2021-01-01 50404
2022-01-01 56977

Subscribe to the FRED newsletter


Follow us

Back to Top