Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lee County, SC
Series ID MHICILBSC45061A052NCEN
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 1:53 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 15668
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17577
1994-01-01 .
1995-01-01 18965
1996-01-01 .
1997-01-01 20046
1998-01-01 20278
1999-01-01 23228
2000-01-01 24586
2001-01-01 23765
2002-01-01 23412
2003-01-01 24440
2004-01-01 25037
2005-01-01 25137
2006-01-01 25020
2007-01-01 27431
2008-01-01 27800
2009-01-01 25315
2010-01-01 26998
2011-01-01 26328
2012-01-01 27296
2013-01-01 27951
2014-01-01 28510
2015-01-01 28566
2016-01-01 28752
2017-01-01 30126
2018-01-01 29978
2019-01-01 33506
2020-01-01 34283
2021-01-01 35066
2022-01-01 36700

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