Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lebanon County, PA
Series ID MHICILBPA42075A052NCEN
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 1:11 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 27062
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31378
1994-01-01 .
1995-01-01 33345
1996-01-01 .
1997-01-01 35722
1998-01-01 37393
1999-01-01 37707
2000-01-01 39440
2001-01-01 38523
2002-01-01 38947
2003-01-01 40128
2004-01-01 41925
2005-01-01 44374
2006-01-01 46171
2007-01-01 44983
2008-01-01 49517
2009-01-01 47718
2010-01-01 49407
2011-01-01 50769
2012-01-01 49850
2013-01-01 52444
2014-01-01 51434
2015-01-01 50415
2016-01-01 54180
2017-01-01 54773
2018-01-01 58512
2019-01-01 57827
2020-01-01 58418
2021-01-01 68425
2022-01-01 64232

Subscribe to the FRED newsletter


Follow us

Back to Top