Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lowndes County, AL
Series ID MHICILBAL01085A052NCEN
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 3:13 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 10954
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 13840
1994-01-01 .
1995-01-01 15102
1996-01-01 .
1997-01-01 17108
1998-01-01 17889
1999-01-01 21234
2000-01-01 22306
2001-01-01 21947
2002-01-01 21717
2003-01-01 22587
2004-01-01 23412
2005-01-01 23238
2006-01-01 24171
2007-01-01 25687
2008-01-01 27735
2009-01-01 25304
2010-01-01 26007
2011-01-01 25360
2012-01-01 25875
2013-01-01 26809
2014-01-01 27628
2015-01-01 27904
2016-01-01 28615
2017-01-01 29572
2018-01-01 30383
2019-01-01 29794
2020-01-01 32316
2021-01-01 32332
2022-01-01 37286
2023-01-01 36781

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