Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Echols County, GA
Series ID MHICILBGA13101A052NCEN
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 1:54 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 18373
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21237
1994-01-01 .
1995-01-01 23840
1996-01-01 .
1997-01-01 26981
1998-01-01 27201
1999-01-01 24545
2000-01-01 24728
2001-01-01 24437
2002-01-01 24168
2003-01-01 24716
2004-01-01 24900
2005-01-01 28163
2006-01-01 27587
2007-01-01 29105
2008-01-01 32663
2009-01-01 25939
2010-01-01 29550
2011-01-01 29253
2012-01-01 29425
2013-01-01 31554
2014-01-01 30783
2015-01-01 30784
2016-01-01 31999
2017-01-01 32460
2018-01-01 34491
2019-01-01 35482
2020-01-01 38769
2021-01-01 37157
2022-01-01 41418

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