Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Barnwell County, SC
Series ID MHICILBSC45011A052NCEN
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 19121
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23030
1994-01-01 .
1995-01-01 24612
1996-01-01 .
1997-01-01 25976
1998-01-01 26706
1999-01-01 26460
2000-01-01 27298
2001-01-01 26505
2002-01-01 25613
2003-01-01 24668
2004-01-01 25262
2005-01-01 28218
2006-01-01 28965
2007-01-01 27808
2008-01-01 32384
2009-01-01 27565
2010-01-01 28087
2011-01-01 30128
2012-01-01 29293
2013-01-01 29127
2014-01-01 28818
2015-01-01 29832
2016-01-01 39122
2017-01-01 32680
2018-01-01 34176
2019-01-01 32724
2020-01-01 35300
2021-01-01 37767
2022-01-01 39910

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