Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hoke County, NC
Series ID MHICIUBNC37093A052NCEN
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 22501
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27069
1994-01-01 .
1995-01-01 29881
1996-01-01 .
1997-01-01 30621
1998-01-01 31373
1999-01-01 32723
2000-01-01 35139
2001-01-01 34498
2002-01-01 34482
2003-01-01 34995
2004-01-01 36735
2005-01-01 41788
2006-01-01 40699
2007-01-01 44874
2008-01-01 43975
2009-01-01 44629
2010-01-01 47216
2011-01-01 46644
2012-01-01 48862
2013-01-01 48032
2014-01-01 47957
2015-01-01 45996
2016-01-01 49240
2017-01-01 53628
2018-01-01 51908
2019-01-01 52330
2020-01-01 60606
2021-01-01 59797
2022-01-01 63805

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