Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lee County, GA
Series ID MHICIUBGA13177A052NCEN
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 3:12 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 33448
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39294
1994-01-01 .
1995-01-01 45352
1996-01-01 .
1997-01-01 47410
1998-01-01 49390
1999-01-01 51018
2000-01-01 52999
2001-01-01 51868
2002-01-01 51918
2003-01-01 52031
2004-01-01 53816
2005-01-01 61406
2006-01-01 63076
2007-01-01 59658
2008-01-01 64963
2009-01-01 62111
2010-01-01 66875
2011-01-01 66122
2012-01-01 69138
2013-01-01 68593
2014-01-01 70367
2015-01-01 73719
2016-01-01 69089
2017-01-01 76103
2018-01-01 72013
2019-01-01 80804
2020-01-01 84737
2021-01-01 84760
2022-01-01 90305
2023-01-01 88855

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