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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chester County, SC
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.
1989-01-01 19031
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23309
1994-01-01 .
1995-01-01 24879
1996-01-01 .
1997-01-01 26157
1998-01-01 27392
1999-01-01 29352
2000-01-01 30263
2001-01-01 29652
2002-01-01 29673
2003-01-01 31097
2004-01-01 32063
2005-01-01 30544
2006-01-01 32176
2007-01-01 33157
2008-01-01 32755
2009-01-01 30928
2010-01-01 32021
2011-01-01 30370
2012-01-01 31189
2013-01-01 33410
2014-01-01 33727
2015-01-01 31857
2016-01-01 36610
2017-01-01 37200
2018-01-01 37891
2019-01-01 41532
2020-01-01 39120
2021-01-01 42171
2022-01-01 49579

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