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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coos County, NH
Series ID MHICILBNH33007A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:08 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 23259
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27052
1994-01-01 .
1995-01-01 27289
1996-01-01 .
1997-01-01 28648
1998-01-01 30129
1999-01-01 30821
2000-01-01 32223
2001-01-01 31602
2002-01-01 31595
2003-01-01 33138
2004-01-01 34376
2005-01-01 36906
2006-01-01 36742
2007-01-01 37622
2008-01-01 40031
2009-01-01 38399
2010-01-01 35039
2011-01-01 35535
2012-01-01 36779
2013-01-01 38165
2014-01-01 39026
2015-01-01 37844
2016-01-01 41592
2017-01-01 39988
2018-01-01 42242
2019-01-01 44836
2020-01-01 44716
2021-01-01 48017
2022-01-01 47903
2023-01-01 53055
2024-01-01 54352

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