Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Montgomery County, PA
Series ID MHICILBPA42091A052NCEN
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 38721
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 44792
1994-01-01 .
1995-01-01 49729
1996-01-01 .
1997-01-01 53062
1998-01-01 55278
1999-01-01 56288
2000-01-01 60669
2001-01-01 60388
2002-01-01 61043
2003-01-01 61786
2004-01-01 62249
2005-01-01 66515
2006-01-01 69509
2007-01-01 71980
2008-01-01 76293
2009-01-01 73179
2010-01-01 73924
2011-01-01 74441
2012-01-01 75136
2013-01-01 74683
2014-01-01 77118
2015-01-01 81097
2016-01-01 81805
2017-01-01 84942
2018-01-01 87193
2019-01-01 90405
2020-01-01 91412
2021-01-01 100109
2022-01-01 104496

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