Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Monmouth County, NJ
Series ID MHICILBNJ34025A052NCEN
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 39574
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 47146
1994-01-01 .
1995-01-01 50691
1996-01-01 .
1997-01-01 55268
1998-01-01 57713
1999-01-01 58693
2000-01-01 61995
2001-01-01 61958
2002-01-01 64446
2003-01-01 65017
2004-01-01 67393
2005-01-01 71622
2006-01-01 74688
2007-01-01 76198
2008-01-01 80350
2009-01-01 77438
2010-01-01 78316
2011-01-01 75910
2012-01-01 79537
2013-01-01 81086
2014-01-01 83462
2015-01-01 83480
2016-01-01 86705
2017-01-01 94640
2018-01-01 96580
2019-01-01 99864
2020-01-01 101343
2021-01-01 104018
2022-01-01 114246

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