Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lawrence County, AL
Series ID MHICILBAL01079A052NCEN
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 19403
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23339
1994-01-01 .
1995-01-01 26786
1996-01-01 .
1997-01-01 28586
1998-01-01 31138
1999-01-01 30542
2000-01-01 31403
2001-01-01 30992
2002-01-01 30348
2003-01-01 32129
2004-01-01 32878
2005-01-01 35007
2006-01-01 34226
2007-01-01 35893
2008-01-01 36844
2009-01-01 33545
2010-01-01 34452
2011-01-01 34830
2012-01-01 35088
2013-01-01 37740
2014-01-01 37719
2015-01-01 38125
2016-01-01 38963
2017-01-01 38968
2018-01-01 40237
2019-01-01 42663
2020-01-01 42121
2021-01-01 51509
2022-01-01 49321

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