Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Johnson County, MO
Series ID MHICIUBMO29101A052NCEN
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 1:52 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 26202
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30199
1994-01-01 .
1995-01-01 33158
1996-01-01 .
1997-01-01 36344
1998-01-01 37891
1999-01-01 37411
2000-01-01 39486
2001-01-01 38583
2002-01-01 39459
2003-01-01 40234
2004-01-01 41361
2005-01-01 42586
2006-01-01 44748
2007-01-01 47562
2008-01-01 50511
2009-01-01 42764
2010-01-01 46785
2011-01-01 51709
2012-01-01 48329
2013-01-01 47909
2014-01-01 53545
2015-01-01 46888
2016-01-01 52978
2017-01-01 57611
2018-01-01 55707
2019-01-01 62640
2020-01-01 64244
2021-01-01 64934
2022-01-01 63958

Subscribe to the FRED newsletter


Follow us

Back to Top