Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ellis County, KS
Series ID MHICILBKS20051A052NCEN
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 22693
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26001
1994-01-01 .
1995-01-01 27051
1996-01-01 .
1997-01-01 30321
1998-01-01 31502
1999-01-01 31211
2000-01-01 32225
2001-01-01 31985
2002-01-01 31925
2003-01-01 33318
2004-01-01 34070
2005-01-01 37717
2006-01-01 35939
2007-01-01 39853
2008-01-01 41143
2009-01-01 37835
2010-01-01 39201
2011-01-01 38138
2012-01-01 41821
2013-01-01 43131
2014-01-01 44906
2015-01-01 45572
2016-01-01 48411
2017-01-01 44359
2018-01-01 48898
2019-01-01 48757
2020-01-01 50333
2021-01-01 53698
2022-01-01 55887

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