Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bergen County, NJ
Series ID MHICILBNJ34003A052NCEN
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 44307
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 47231
1994-01-01 .
1995-01-01 53080
1996-01-01 .
1997-01-01 57049
1998-01-01 58219
1999-01-01 57826
2000-01-01 60272
2001-01-01 60474
2002-01-01 61338
2003-01-01 60555
2004-01-01 62014
2005-01-01 69446
2006-01-01 73079
2007-01-01 77517
2008-01-01 80162
2009-01-01 78430
2010-01-01 74422
2011-01-01 76665
2012-01-01 79148
2013-01-01 80374
2014-01-01 81445
2015-01-01 85637
2016-01-01 90553
2017-01-01 90841
2018-01-01 98575
2019-01-01 104946
2020-01-01 102827
2021-01-01 101743
2022-01-01 110458

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