Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Gray County, KS
Series ID MHICILBKS20069A052NCEN
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 1:12 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 24396
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31450
1994-01-01 .
1995-01-01 32346
1996-01-01 .
1997-01-01 36581
1998-01-01 37788
1999-01-01 38228
2000-01-01 39378
2001-01-01 38573
2002-01-01 36762
2003-01-01 36931
2004-01-01 38471
2005-01-01 38679
2006-01-01 40988
2007-01-01 45900
2008-01-01 45266
2009-01-01 43515
2010-01-01 47085
2011-01-01 55326
2012-01-01 50914
2013-01-01 51870
2014-01-01 53025
2015-01-01 59233
2016-01-01 58626
2017-01-01 62144
2018-01-01 61779
2019-01-01 61025
2020-01-01 61833
2021-01-01 61154
2022-01-01 69580

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