Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lawrence County, AL
Series ID MHICIUBAL01079A052NCEN
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 3:12 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 23742
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27725
1994-01-01 .
1995-01-01 32727
1996-01-01 .
1997-01-01 34615
1998-01-01 37206
1999-01-01 34752
2000-01-01 36366
2001-01-01 35479
2002-01-01 34815
2003-01-01 36394
2004-01-01 37255
2005-01-01 40736
2006-01-01 40776
2007-01-01 42604
2008-01-01 44466
2009-01-01 39076
2010-01-01 40278
2011-01-01 41434
2012-01-01 41960
2013-01-01 43686
2014-01-01 45429
2015-01-01 45417
2016-01-01 47251
2017-01-01 46856
2018-01-01 47581
2019-01-01 52931
2020-01-01 55727
2021-01-01 59601
2022-01-01 61711
2023-01-01 67114

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