Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lyon County, KS
Series ID MHICILBKS20111A052NCEN
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 24250
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26624
1994-01-01 .
1995-01-01 27740
1996-01-01 .
1997-01-01 30610
1998-01-01 31521
1999-01-01 31014
2000-01-01 31736
2001-01-01 31259
2002-01-01 31145
2003-01-01 31877
2004-01-01 32303
2005-01-01 34057
2006-01-01 33602
2007-01-01 34932
2008-01-01 36808
2009-01-01 34017
2010-01-01 36262
2011-01-01 36454
2012-01-01 35930
2013-01-01 35969
2014-01-01 40201
2015-01-01 36765
2016-01-01 39298
2017-01-01 42766
2018-01-01 43085
2019-01-01 45981
2020-01-01 50904
2021-01-01 46310
2022-01-01 50559
2023-01-01 51048

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