Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Forsyth County, GA
Series ID MHICILBGA13117A052NCEN
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 2:33 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 34504
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41804
1994-01-01 .
1995-01-01 52918
1996-01-01 .
1997-01-01 56823
1998-01-01 63561
1999-01-01 64460
2000-01-01 67306
2001-01-01 68169
2002-01-01 69180
2003-01-01 68552
2004-01-01 69724
2005-01-01 78290
2006-01-01 79876
2007-01-01 81612
2008-01-01 83456
2009-01-01 80227
2010-01-01 77377
2011-01-01 79248
2012-01-01 82485
2013-01-01 83502
2014-01-01 83731
2015-01-01 91150
2016-01-01 97921
2017-01-01 99644
2018-01-01 101963
2019-01-01 108612
2020-01-01 109516
2021-01-01 114200
2022-01-01 124788
2023-01-01 129679

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