Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lawrence County, PA
Series ID MHICIUBPA42073A052NCEN
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 2:31 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 25393
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27849
1994-01-01 .
1995-01-01 31373
1996-01-01 .
1997-01-01 33455
1998-01-01 34420
1999-01-01 34618
2000-01-01 36831
2001-01-01 35571
2002-01-01 35981
2003-01-01 36828
2004-01-01 38450
2005-01-01 40976
2006-01-01 41023
2007-01-01 42221
2008-01-01 44430
2009-01-01 44555
2010-01-01 41681
2011-01-01 43557
2012-01-01 44847
2013-01-01 46139
2014-01-01 47165
2015-01-01 47213
2016-01-01 49687
2017-01-01 52291
2018-01-01 52048
2019-01-01 54384
2020-01-01 55682
2021-01-01 61808
2022-01-01 63031
2023-01-01 66872

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