Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Georgetown County, SC
Series ID MHICILBSC45043A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 19833
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22851
1994-01-01 .
1995-01-01 26314
1996-01-01 .
1997-01-01 27896
1998-01-01 28548
1999-01-01 31435
2000-01-01 33859
2001-01-01 32444
2002-01-01 32734
2003-01-01 34314
2004-01-01 35435
2005-01-01 32563
2006-01-01 38883
2007-01-01 38866
2008-01-01 45079
2009-01-01 36860
2010-01-01 35543
2011-01-01 37172
2012-01-01 37486
2013-01-01 38269
2014-01-01 40723
2015-01-01 40483
2016-01-01 43734
2017-01-01 44598
2018-01-01 41913
2019-01-01 47926
2020-01-01 52688
2021-01-01 54219
2022-01-01 54551
2023-01-01 64847

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