Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, MO
Series ID MHICIUBMO29095A052NCEN
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 29184
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32630
1994-01-01 .
1995-01-01 36642
1996-01-01 .
1997-01-01 40395
1998-01-01 42568
1999-01-01 41967
2000-01-01 44968
2001-01-01 43718
2002-01-01 44468
2003-01-01 44601
2004-01-01 44816
2005-01-01 44757
2006-01-01 45865
2007-01-01 45601
2008-01-01 48476
2009-01-01 47237
2010-01-01 45903
2011-01-01 45949
2012-01-01 46227
2013-01-01 48438
2014-01-01 48043
2015-01-01 50175
2016-01-01 51908
2017-01-01 54125
2018-01-01 57288
2019-01-01 59611
2020-01-01 59061
2021-01-01 65097
2022-01-01 64170

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