Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Coos County, NH
Series ID MHICIUBNH33007A052NCEN
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 1:51 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 27674
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31510
1994-01-01 .
1995-01-01 33355
1996-01-01 .
1997-01-01 34804
1998-01-01 36217
1999-01-01 35109
2000-01-01 37316
2001-01-01 36171
2002-01-01 36206
2003-01-01 37518
2004-01-01 38942
2005-01-01 42211
2006-01-01 41599
2007-01-01 44091
2008-01-01 45544
2009-01-01 43271
2010-01-01 40377
2011-01-01 39819
2012-01-01 43545
2013-01-01 43669
2014-01-01 45956
2015-01-01 42728
2016-01-01 48662
2017-01-01 47684
2018-01-01 46276
2019-01-01 53476
2020-01-01 54214
2021-01-01 59187
2022-01-01 56681

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