Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dade County, GA
Series ID MHICILBGA13083A052NCEN
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 20009
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23034
1994-01-01 .
1995-01-01 24610
1996-01-01 .
1997-01-01 26967
1998-01-01 29384
1999-01-01 31788
2000-01-01 33162
2001-01-01 32219
2002-01-01 32287
2003-01-01 33269
2004-01-01 34175
2005-01-01 35093
2006-01-01 36495
2007-01-01 36639
2008-01-01 37910
2009-01-01 35075
2010-01-01 36333
2011-01-01 37690
2012-01-01 37297
2013-01-01 39520
2014-01-01 38615
2015-01-01 39408
2016-01-01 33242
2017-01-01 40246
2018-01-01 43591
2019-01-01 41421
2020-01-01 37825
2021-01-01 58886
2022-01-01 53055

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