Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lee County, GA
Series ID MHICILBGA13177A052NCEN
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 28950
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34745
1994-01-01 .
1995-01-01 39115
1996-01-01 .
1997-01-01 41225
1998-01-01 43263
1999-01-01 44665
2000-01-01 45559
2001-01-01 45080
2002-01-01 45081
2003-01-01 45702
2004-01-01 47346
2005-01-01 53900
2006-01-01 53178
2007-01-01 51235
2008-01-01 54417
2009-01-01 51977
2010-01-01 56103
2011-01-01 55182
2012-01-01 57538
2013-01-01 57951
2014-01-01 58699
2015-01-01 63553
2016-01-01 56855
2017-01-01 61679
2018-01-01 60167
2019-01-01 64046
2020-01-01 64543
2021-01-01 68332
2022-01-01 78215

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