Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lawrence County, AR
Series ID MHICILBAR05075A052NCEN
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 1:12 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 14356
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16091
1994-01-01 .
1995-01-01 17918
1996-01-01 .
1997-01-01 20070
1998-01-01 22289
1999-01-01 25137
2000-01-01 26075
2001-01-01 25218
2002-01-01 24789
2003-01-01 26194
2004-01-01 27128
2005-01-01 27020
2006-01-01 26271
2007-01-01 28184
2008-01-01 28317
2009-01-01 28011
2010-01-01 30194
2011-01-01 29742
2012-01-01 27074
2013-01-01 31749
2014-01-01 31433
2015-01-01 31696
2016-01-01 35602
2017-01-01 37457
2018-01-01 36590
2019-01-01 35840
2020-01-01 34902
2021-01-01 39775
2022-01-01 41963

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