Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Russell County, KS
Series ID MHICILBKS20167A052NCEN
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 19278
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22391
1994-01-01 .
1995-01-01 22705
1996-01-01 .
1997-01-01 25058
1998-01-01 25119
1999-01-01 26945
2000-01-01 27875
2001-01-01 27109
2002-01-01 26538
2003-01-01 27407
2004-01-01 28647
2005-01-01 28396
2006-01-01 29782
2007-01-01 32108
2008-01-01 34808
2009-01-01 33012
2010-01-01 33329
2011-01-01 33545
2012-01-01 33344
2013-01-01 35813
2014-01-01 41923
2015-01-01 38258
2016-01-01 39220
2017-01-01 38494
2018-01-01 41216
2019-01-01 40657
2020-01-01 52367
2021-01-01 42118
2022-01-01 43557

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