Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Greene County, AL
Series ID MHICILBAL01063A052NCEN
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 1:55 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 9959
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 11984
1994-01-01 .
1995-01-01 13152
1996-01-01 .
1997-01-01 14455
1998-01-01 15926
1999-01-01 18856
2000-01-01 19578
2001-01-01 19319
2002-01-01 19304
2003-01-01 20542
2004-01-01 20989
2005-01-01 20383
2006-01-01 21261
2007-01-01 22622
2008-01-01 23338
2009-01-01 23390
2010-01-01 24497
2011-01-01 22244
2012-01-01 22485
2013-01-01 23314
2014-01-01 23686
2015-01-01 22733
2016-01-01 23639
2017-01-01 24982
2018-01-01 25352
2019-01-01 25744
2020-01-01 28584
2021-01-01 26496
2022-01-01 31310

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