Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Venango County, PA
Series ID MHICILBPA42121A052NCEN
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 3:13 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 22208
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24027
1994-01-01 .
1995-01-01 25486
1996-01-01 .
1997-01-01 26245
1998-01-01 26985
1999-01-01 29007
2000-01-01 30153
2001-01-01 29577
2002-01-01 29753
2003-01-01 30912
2004-01-01 32278
2005-01-01 33164
2006-01-01 33777
2007-01-01 34659
2008-01-01 39229
2009-01-01 34171
2010-01-01 36616
2011-01-01 37249
2012-01-01 36248
2013-01-01 39711
2014-01-01 41255
2015-01-01 42454
2016-01-01 38961
2017-01-01 45513
2018-01-01 43018
2019-01-01 50918
2020-01-01 47965
2021-01-01 54373
2022-01-01 49939
2023-01-01 53234

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