Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cape May County, NJ
Series ID MHICILBNJ34009A052NCEN
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 24150
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30279
1994-01-01 .
1995-01-01 31859
1996-01-01 .
1997-01-01 33236
1998-01-01 33981
1999-01-01 35937
2000-01-01 37986
2001-01-01 37743
2002-01-01 38774
2003-01-01 39536
2004-01-01 41837
2005-01-01 48439
2006-01-01 46550
2007-01-01 48865
2008-01-01 50163
2009-01-01 47428
2010-01-01 48746
2011-01-01 49769
2012-01-01 52817
2013-01-01 53335
2014-01-01 52286
2015-01-01 52365
2016-01-01 55353
2017-01-01 61462
2018-01-01 57293
2019-01-01 61812
2020-01-01 71644
2021-01-01 70489
2022-01-01 75733

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