Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rockingham County, NH
Series ID MHICIUBNH33015A052NCEN
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 1:09 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 42425
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 47790
1994-01-01 .
1995-01-01 51642
1996-01-01 .
1997-01-01 56778
1998-01-01 60285
1999-01-01 61364
2000-01-01 66553
2001-01-01 66589
2002-01-01 66929
2003-01-01 68687
2004-01-01 69418
2005-01-01 68197
2006-01-01 72724
2007-01-01 78224
2008-01-01 78071
2009-01-01 72505
2010-01-01 75997
2011-01-01 78480
2012-01-01 78410
2013-01-01 78423
2014-01-01 82432
2015-01-01 89829
2016-01-01 85990
2017-01-01 92645
2018-01-01 98906
2019-01-01 94600
2020-01-01 100851
2021-01-01 107549
2022-01-01 112593

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