NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nevada Series ID: MHICILBNV32000A052NCEN 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 (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 30614 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31792 1994-01-01 . 1995-01-01 34694 1996-01-01 36186 1997-01-01 37558 1998-01-01 38082 1999-01-01 40561 2000-01-01 42827 2001-01-01 42817 2002-01-01 42839 2003-01-01 43826 2004-01-01 45736 2005-01-01 48498 2006-01-01 51901 2007-01-01 54155 2008-01-01 55670 2009-01-01 52433 2010-01-01 50262 2011-01-01 48171 2012-01-01 49131 2013-01-01 50676 2014-01-01 50828 2015-01-01 51612 2016-01-01 54342 2017-01-01 57032 2018-01-01 57678 2019-01-01 62281 2020-01-01 63272 2021-01-01 65202 2022-01-01 71348