Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Passaic County, NJ
Series ID MHICIUBNJ34031A052NCEN
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 2:31 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 33098
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38081
1994-01-01 .
1995-01-01 40911
1996-01-01 .
1997-01-01 42522
1998-01-01 43686
1999-01-01 45623
2000-01-01 49037
2001-01-01 47902
2002-01-01 47690
2003-01-01 49028
2004-01-01 50808
2005-01-01 52694
2006-01-01 51925
2007-01-01 57017
2008-01-01 58589
2009-01-01 54013
2010-01-01 55637
2011-01-01 54704
2012-01-01 60020
2013-01-01 60031
2014-01-01 60333
2015-01-01 58733
2016-01-01 63738
2017-01-01 66096
2018-01-01 75033
2019-01-01 78078
2020-01-01 68758
2021-01-01 77229
2022-01-01 82325
2023-01-01 84801

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