Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson County, KS
Series ID MHICILBKS20087A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 27037
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31531
1994-01-01 .
1995-01-01 33965
1996-01-01 .
1997-01-01 38079
1998-01-01 40413
1999-01-01 41413
2000-01-01 43009
2001-01-01 42566
2002-01-01 43195
2003-01-01 43824
2004-01-01 45761
2005-01-01 47505
2006-01-01 48332
2007-01-01 48068
2008-01-01 53667
2009-01-01 48569
2010-01-01 48340
2011-01-01 52322
2012-01-01 50552
2013-01-01 50640
2014-01-01 52980
2015-01-01 55241
2016-01-01 56316
2017-01-01 59931
2018-01-01 63980
2019-01-01 61100
2020-01-01 56717
2021-01-01 67110
2022-01-01 69982
2023-01-01 72393

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