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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for York County, SC
Series ID MHICILBSC45091A052NCEN
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 27393
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32216
1994-01-01 .
1995-01-01 35571
1996-01-01 .
1997-01-01 36776
1998-01-01 37446
1999-01-01 39523
2000-01-01 41690
2001-01-01 41244
2002-01-01 41797
2003-01-01 43034
2004-01-01 44578
2005-01-01 45031
2006-01-01 44862
2007-01-01 50763
2008-01-01 49876
2009-01-01 48470
2010-01-01 48728
2011-01-01 47399
2012-01-01 49176
2013-01-01 51623
2014-01-01 50549
2015-01-01 53949
2016-01-01 58101
2017-01-01 60037
2018-01-01 61988
2019-01-01 63897
2020-01-01 67034
2021-01-01 70056
2022-01-01 80134

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