Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jefferson County, KS
Series ID MHICIUBKS20087A052NCEN
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 1:53 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 31438
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35942
1994-01-01 .
1995-01-01 39951
1996-01-01 .
1997-01-01 44164
1998-01-01 46413
1999-01-01 47049
2000-01-01 49734
2001-01-01 48662
2002-01-01 49399
2003-01-01 49619
2004-01-01 51853
2005-01-01 53666
2006-01-01 56886
2007-01-01 56701
2008-01-01 59874
2009-01-01 59029
2010-01-01 56844
2011-01-01 61770
2012-01-01 59562
2013-01-01 59140
2014-01-01 60874
2015-01-01 62919
2016-01-01 68254
2017-01-01 72157
2018-01-01 74512
2019-01-01 75998
2020-01-01 70707
2021-01-01 80294
2022-01-01 81566

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