Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Passaic County, NJ
Series ID MHICILBNJ34031A052NCEN
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 29410
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34242
1994-01-01 .
1995-01-01 35837
1996-01-01 .
1997-01-01 37029
1998-01-01 38144
1999-01-01 40298
2000-01-01 42745
2001-01-01 42081
2002-01-01 41884
2003-01-01 43519
2004-01-01 45086
2005-01-01 49191
2006-01-01 48461
2007-01-01 51398
2008-01-01 54515
2009-01-01 49853
2010-01-01 51089
2011-01-01 49782
2012-01-01 56126
2013-01-01 54821
2014-01-01 55727
2015-01-01 52713
2016-01-01 59296
2017-01-01 60158
2018-01-01 68885
2019-01-01 74000
2020-01-01 60086
2021-01-01 70803
2022-01-01 75233

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