Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sheridan County, KS
Series ID MHICILBKS20179A052NCEN
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 3:13 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 19785
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25258
1994-01-01 .
1995-01-01 27511
1996-01-01 .
1997-01-01 30503
1998-01-01 31204
1999-01-01 32552
2000-01-01 32984
2001-01-01 32838
2002-01-01 29619
2003-01-01 32174
2004-01-01 32969
2005-01-01 32977
2006-01-01 34567
2007-01-01 35281
2008-01-01 39266
2009-01-01 39653
2010-01-01 42261
2011-01-01 43639
2012-01-01 46190
2013-01-01 45906
2014-01-01 47158
2015-01-01 45998
2016-01-01 44645
2017-01-01 45968
2018-01-01 45292
2019-01-01 48159
2020-01-01 49325
2021-01-01 51970
2022-01-01 54924
2023-01-01 57851

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