Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Adair County, MO
Series ID MHICIUBMO29001A052NCEN
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 1:11 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 23321
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26045
1994-01-01 .
1995-01-01 28804
1996-01-01 .
1997-01-01 31424
1998-01-01 33358
1999-01-01 30272
2000-01-01 31065
2001-01-01 30074
2002-01-01 30228
2003-01-01 30628
2004-01-01 30617
2005-01-01 32259
2006-01-01 32161
2007-01-01 34526
2008-01-01 36532
2009-01-01 34341
2010-01-01 33932
2011-01-01 36899
2012-01-01 35613
2013-01-01 38444
2014-01-01 38830
2015-01-01 43089
2016-01-01 39940
2017-01-01 42895
2018-01-01 44470
2019-01-01 47021
2020-01-01 54405
2021-01-01 52398
2022-01-01 51634

Subscribe to the FRED newsletter


Follow us

Back to Top