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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rockingham County, NH
Series ID MHICILBNH33015A052NCEN
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 38474
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43801
1994-01-01 .
1995-01-01 46572
1996-01-01 .
1997-01-01 51529
1998-01-01 55034
1999-01-01 54492
2000-01-01 58904
2001-01-01 59444
2002-01-01 59791
2003-01-01 61906
2004-01-01 62604
2005-01-01 64065
2006-01-01 68028
2007-01-01 71883
2008-01-01 72779
2009-01-01 67888
2010-01-01 70807
2011-01-01 72090
2012-01-01 74160
2013-01-01 71147
2014-01-01 76874
2015-01-01 84377
2016-01-01 78042
2017-01-01 85453
2018-01-01 88384
2019-01-01 88232
2020-01-01 92699
2021-01-01 101013
2022-01-01 102297

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