Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nance County, NE Series ID: MHICILBNE31125A052NCEN 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 1:54 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 19560 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24664 1994-01-01 . 1995-01-01 24603 1996-01-01 . 1997-01-01 26451 1998-01-01 26446 1999-01-01 28673 2000-01-01 29420 2001-01-01 29818 2002-01-01 28823 2003-01-01 30785 2004-01-01 32819 2005-01-01 31953 2006-01-01 32716 2007-01-01 34636 2008-01-01 35762 2009-01-01 36847 2010-01-01 37942 2011-01-01 38313 2012-01-01 40254 2013-01-01 40815 2014-01-01 43543 2015-01-01 42051 2016-01-01 42546 2017-01-01 44241 2018-01-01 43776 2019-01-01 50481 2020-01-01 44985 2021-01-01 49918 2022-01-01 55965