Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dorchester County, SC
Series ID MHICILBSC45035A052NCEN
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 27209
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32251
1994-01-01 .
1995-01-01 31783
1996-01-01 .
1997-01-01 33564
1998-01-01 34826
1999-01-01 37362
2000-01-01 39727
2001-01-01 39360
2002-01-01 40106
2003-01-01 41888
2004-01-01 44280
2005-01-01 47098
2006-01-01 47069
2007-01-01 51175
2008-01-01 57205
2009-01-01 49225
2010-01-01 48667
2011-01-01 47913
2012-01-01 51373
2013-01-01 51404
2014-01-01 52457
2015-01-01 51720
2016-01-01 55032
2017-01-01 58931
2018-01-01 61332
2019-01-01 63117
2020-01-01 57455
2021-01-01 65015
2022-01-01 69127

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