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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jasper 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 15251
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18451
1994-01-01 .
1995-01-01 20543
1996-01-01 .
1997-01-01 22032
1998-01-01 23339
1999-01-01 25618
2000-01-01 26832
2001-01-01 25722
2002-01-01 24980
2003-01-01 26713
2004-01-01 27740
2005-01-01 30097
2006-01-01 31489
2007-01-01 32920
2008-01-01 35123
2009-01-01 31629
2010-01-01 32363
2011-01-01 31586
2012-01-01 33113
2013-01-01 31633
2014-01-01 35021
2015-01-01 34025
2016-01-01 38436
2017-01-01 37475
2018-01-01 38655
2019-01-01 46302
2020-01-01 42546
2021-01-01 48461
2022-01-01 56591

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