Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lawrence County, PA
Series ID MHICILBPA42073A052NCEN
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 1:53 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 20939
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23345
1994-01-01 .
1995-01-01 25215
1996-01-01 .
1997-01-01 27263
1998-01-01 28297
1999-01-01 30379
2000-01-01 31700
2001-01-01 30956
2002-01-01 31296
2003-01-01 32428
2004-01-01 33853
2005-01-01 37248
2006-01-01 37068
2007-01-01 38979
2008-01-01 38757
2009-01-01 40526
2010-01-01 36413
2011-01-01 39337
2012-01-01 41845
2013-01-01 40259
2014-01-01 42641
2015-01-01 40675
2016-01-01 43767
2017-01-01 45041
2018-01-01 44788
2019-01-01 47574
2020-01-01 45064
2021-01-01 54806
2022-01-01 54429

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