Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, KS
Series ID MHICILBKS20085A052NCEN
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 1:54 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 24114
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26568
1994-01-01 .
1995-01-01 29735
1996-01-01 .
1997-01-01 32416
1998-01-01 34607
1999-01-01 36821
2000-01-01 38688
2001-01-01 38714
2002-01-01 38917
2003-01-01 39614
2004-01-01 40700
2005-01-01 39777
2006-01-01 42261
2007-01-01 44289
2008-01-01 45771
2009-01-01 44423
2010-01-01 47112
2011-01-01 45525
2012-01-01 47353
2013-01-01 46213
2014-01-01 49175
2015-01-01 47006
2016-01-01 53869
2017-01-01 46264
2018-01-01 51587
2019-01-01 56807
2020-01-01 52530
2021-01-01 49573
2022-01-01 62725

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